Overview

Brought to you by YData

Dataset statistics

Number of variables17
Number of observations5634
Missing cells865
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 MiB
Average record size in memory1.9 KiB

Variable types

URL1
Text9
Boolean3
Numeric2
Categorical2

Alerts

reviews_list has constant value "False" Constant
book_table is highly imbalanced (52.1%) Imbalance
rate has 835 (14.8%) missing values Missing
url has unique values Unique
votes has 1149 (20.4%) zeros Zeros

Reproduction

Analysis started2025-05-20 18:00:28.341515
Analysis finished2025-05-20 18:01:31.914328
Duration1 minute and 3.57 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

url
URL

Unique 

Distinct5634
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 MiB
https://www.zomato.com/bangalore/jalsa-banashankari?context=eyJzZSI6eyJlIjpbNTg2OTQsIjE4Mzc1NDc0IiwiNTkwOTAiLCIxODM4Mjk0NCIsIjE4MjI0Njc2IiwiNTkyODkiLCIxODM3MzM4NiJdLCJ0IjoiUmVzdGF1cmFudHMgaW4gQmFuYXNoYW5rYXJpIHNlcnZpbmcgQnVmZmV0In19
 
1
https://www.zomato.com/bangalore/venkateshwara-foods-residency-road-bangalore?context=eyJzZSI6eyJlIjpbIjUxMDA4IiwiNTAwNDYiLCIxODc1NTI5NyIsIjE4Njg0MTc3IiwxODYzMjQzNiwiNTIzOTciLCI1MTg1OCIsIjUwNDA3IiwiMTg4ODE3MzMiLCIxODY0NTAxNSIsIjE4NjQyMDM3IiwiMTg1NjQ3MzEiLCIxODIwMzAyNCIsIjUxOTEyIiwiMTg2Njc1NzciXSwidCI6IkRlbGl2ZXJ5IFJlc3RhdXJhbnRzIGluIEJyaWdhZGUgUm9hZCJ9fQ==
 
1
https://www.zomato.com/bangalore/green-theory-residency-road?context=eyJzZSI6eyJlIjpbIjE4Njc4MDI2IiwiNTczMDciLCI1OTYyOSIsIjE4MjI0NjUwIiw1MjI1MywiNTEwMzgiLCIxODUyMzExOCIsIjE3OTU2NjcxIiwiNTA2NjEiLCIxODI3ODI0MSIsIjUwMjIwIiwiNjA1ODciLCI1NTU1NSIsIjE4NjI3NTc3IiwiMTg0NjM1NjYiLCIxODUxODY1MiJdLCJ0IjoiQ2FmXHUwMGU5cyBhbmQgRGVsaXMgaW4gQnJpZ2FkZSBSb2FkIn19
 
1
https://www.zomato.com/bangalore/brik-oven-church-street?context=eyJzZSI6eyJlIjpbIjE4NjI4MjA0IiwiMTg2NzgwMjYiLCI1NzMwNyIsIjU5NjI5IiwxODIyNDY1MCwiNTIyNTMiLCI1MTAzOCIsIjE4NTIzMTE4IiwiMTc5NTY2NzEiLCI1MDY2MSIsIjE4Mjc4MjQxIiwiNTAyMjAiLCI2MDU4NyIsIjU1NTU1IiwiMTg2Mjc1NzciLCIxODQ2MzU2NiIsIjE4NTE4NjUyIl0sInQiOiJDYWZcdTAwZTlzIGFuZCBEZWxpcyBpbiBCcmlnYWRlIFJvYWQifX0=
 
1
https://www.zomato.com/bangalore/kalmane-koffees-1-brigade-road?context=eyJzZSI6eyJlIjpbIjE4NTA5ODA5IiwiMTg2MjgyMDQiLCIxODY3ODAyNiIsIjU3MzA3Iiw1OTYyOSwiMTgyMjQ2NTAiLCI1MjI1MyIsIjUxMDM4IiwiMTg1MjMxMTgiLCIxNzk1NjY3MSIsIjUwNjYxIiwiMTgyNzgyNDEiLCI1MDIyMCIsIjYwNTg3IiwiNTU1NTUiLCIxODYyNzU3NyIsIjE4NDYzNTY2IiwiMTg1MTg2NTIiXSwidCI6IkNhZlx1MDBlOXMgYW5kIERlbGlzIGluIEJyaWdhZGUgUm9hZCJ9fQ==
 
1
Other values (5629)
5629 
ValueCountFrequency (%)
https://www.zomato.com/bangalore/jalsa-banashankari?context=eyJzZSI6eyJlIjpbNTg2OTQsIjE4Mzc1NDc0IiwiNTkwOTAiLCIxODM4Mjk0NCIsIjE4MjI0Njc2IiwiNTkyODkiLCIxODM3MzM4NiJdLCJ0IjoiUmVzdGF1cmFudHMgaW4gQmFuYXNoYW5rYXJpIHNlcnZpbmcgQnVmZmV0In19 1
 
< 0.1%
https://www.zomato.com/bangalore/venkateshwara-foods-residency-road-bangalore?context=eyJzZSI6eyJlIjpbIjUxMDA4IiwiNTAwNDYiLCIxODc1NTI5NyIsIjE4Njg0MTc3IiwxODYzMjQzNiwiNTIzOTciLCI1MTg1OCIsIjUwNDA3IiwiMTg4ODE3MzMiLCIxODY0NTAxNSIsIjE4NjQyMDM3IiwiMTg1NjQ3MzEiLCIxODIwMzAyNCIsIjUxOTEyIiwiMTg2Njc1NzciXSwidCI6IkRlbGl2ZXJ5IFJlc3RhdXJhbnRzIGluIEJyaWdhZGUgUm9hZCJ9fQ== 1
 
< 0.1%
https://www.zomato.com/bangalore/green-theory-residency-road?context=eyJzZSI6eyJlIjpbIjE4Njc4MDI2IiwiNTczMDciLCI1OTYyOSIsIjE4MjI0NjUwIiw1MjI1MywiNTEwMzgiLCIxODUyMzExOCIsIjE3OTU2NjcxIiwiNTA2NjEiLCIxODI3ODI0MSIsIjUwMjIwIiwiNjA1ODciLCI1NTU1NSIsIjE4NjI3NTc3IiwiMTg0NjM1NjYiLCIxODUxODY1MiJdLCJ0IjoiQ2FmXHUwMGU5cyBhbmQgRGVsaXMgaW4gQnJpZ2FkZSBSb2FkIn19 1
 
< 0.1%
https://www.zomato.com/bangalore/brik-oven-church-street?context=eyJzZSI6eyJlIjpbIjE4NjI4MjA0IiwiMTg2NzgwMjYiLCI1NzMwNyIsIjU5NjI5IiwxODIyNDY1MCwiNTIyNTMiLCI1MTAzOCIsIjE4NTIzMTE4IiwiMTc5NTY2NzEiLCI1MDY2MSIsIjE4Mjc4MjQxIiwiNTAyMjAiLCI2MDU4NyIsIjU1NTU1IiwiMTg2Mjc1NzciLCIxODQ2MzU2NiIsIjE4NTE4NjUyIl0sInQiOiJDYWZcdTAwZTlzIGFuZCBEZWxpcyBpbiBCcmlnYWRlIFJvYWQifX0= 1
 
< 0.1%
https://www.zomato.com/bangalore/kalmane-koffees-1-brigade-road?context=eyJzZSI6eyJlIjpbIjE4NTA5ODA5IiwiMTg2MjgyMDQiLCIxODY3ODAyNiIsIjU3MzA3Iiw1OTYyOSwiMTgyMjQ2NTAiLCI1MjI1MyIsIjUxMDM4IiwiMTg1MjMxMTgiLCIxNzk1NjY3MSIsIjUwNjYxIiwiMTgyNzgyNDEiLCI1MDIyMCIsIjYwNTg3IiwiNTU1NTUiLCIxODYyNzU3NyIsIjE4NDYzNTY2IiwiMTg1MTg2NTIiXSwidCI6IkNhZlx1MDBlOXMgYW5kIERlbGlzIGluIEJyaWdhZGUgUm9hZCJ9fQ== 1
 
< 0.1%
https://www.zomato.com/bangalore/bon-sante-brigade-road?context=eyJzZSI6eyJlIjpbIjE4MjA4Mzc3IiwiMTg1MDk4MDkiLCIxODYyODIwNCIsIjE4Njc4MDI2Iiw1NzMwNywiNTk2MjkiLCIxODIyNDY1MCIsIjUyMjUzIiwiNTEwMzgiLCIxODUyMzExOCIsIjE3OTU2NjcxIiwiNTA2NjEiLCIxODI3ODI0MSIsIjUwMjIwIiwiNjA1ODciLCI1NTU1NSIsIjE4NjI3NTc3IiwiMTg0NjM1NjYiLCIxODUxODY1MiJdLCJ0IjoiQ2FmXHUwMGU5cyBhbmQgRGVsaXMgaW4gQnJpZ2FkZSBSb2FkIn19 1
 
< 0.1%
https://www.zomato.com/bangalore/x-tra-cafe-brigade-road-bangalore?context=eyJzZSI6eyJlIjpbIjE4NzA3NDY5IiwiMTgyMDgzNzciLCIxODUwOTgwOSIsIjE4NjI4MjA0IiwxODY3ODAyNiwiNTczMDciLCI1OTYyOSIsIjE4MjI0NjUwIiwiNTIyNTMiLCI1MTAzOCIsIjE4NTIzMTE4IiwiMTc5NTY2NzEiLCI1MDY2MSIsIjE4Mjc4MjQxIiwiNTAyMjAiLCI2MDU4NyIsIjU1NTU1IiwiMTg2Mjc1NzciLCIxODQ2MzU2NiIsIjE4NTE4NjUyIl0sInQiOiJDYWZcdTAwZTlzIGFuZCBEZWxpcyBpbiBCcmlnYWRlIFJvYWQifX0= 1
 
< 0.1%
https://www.zomato.com/bangalore/smokie-brownie-brigade-road?context=eyJzZSI6eyJlIjpbIjE4NjYxMzI2IiwiMTg3MDc0NjkiLCIxODIwODM3NyIsIjE4NTA5ODA5IiwxODYyODIwNCwiMTg2NzgwMjYiLCI1NzMwNyIsIjU5NjI5IiwiMTgyMjQ2NTAiLCI1MjI1MyIsIjUxMDM4IiwiMTg1MjMxMTgiLCIxNzk1NjY3MSIsIjUwNjYxIiwiMTgyNzgyNDEiLCI1MDIyMCIsIjYwNTg3IiwiNTU1NTUiLCIxODYyNzU3NyIsIjE4NDYzNTY2IiwiMTg1MTg2NTIiXSwidCI6IkNhZlx1MDBlOXMgYW5kIERlbGlzIGluIEJyaWdhZGUgUm9hZCJ9fQ== 1
 
< 0.1%
https://www.zomato.com/bangalore/hashtag-cafe-brigade-road?context=eyJzZSI6eyJlIjpbIjE4MzkxNjA3IiwiMTg2NjEzMjYiLCIxODcwNzQ2OSIsIjE4MjA4Mzc3IiwxODUwOTgwOSwiMTg2MjgyMDQiLCIxODY3ODAyNiIsIjU3MzA3IiwiNTk2MjkiLCIxODIyNDY1MCIsIjUyMjUzIiwiNTEwMzgiLCIxODUyMzExOCIsIjE3OTU2NjcxIiwiNTA2NjEiLCIxODI3ODI0MSIsIjUwMjIwIiwiNjA1ODciLCI1NTU1NSIsIjE4NjI3NTc3IiwiMTg0NjM1NjYiLCIxODUxODY1MiJdLCJ0IjoiQ2FmXHUwMGU5cyBhbmQgRGVsaXMgaW4gQnJpZ2FkZSBSb2FkIn19 1
 
< 0.1%
https://www.zomato.com/bangalore/cafe-coffee-day-4-brigade-road?context=eyJzZSI6eyJlIjpbIjE4ODExMDE5IiwiMTgzOTE2MDciLCIxODY2MTMyNiIsIjE4NzA3NDY5IiwxODIwODM3NywiMTg1MDk4MDkiLCIxODYyODIwNCIsIjE4Njc4MDI2IiwiNTczMDciLCI1OTYyOSIsIjE4MjI0NjUwIiwiNTIyNTMiLCI1MTAzOCIsIjE4NTIzMTE4IiwiMTc5NTY2NzEiLCI1MDY2MSIsIjE4Mjc4MjQxIiwiNTAyMjAiLCI2MDU4NyIsIjU1NTU1IiwiMTg2Mjc1NzciLCIxODQ2MzU2NiIsIjE4NTE4NjUyIl0sInQiOiJDYWZcdTAwZTlzIGFuZCBEZWxpcyBpbiBCcmlnYWRlIFJvYWQifX0= 1
 
< 0.1%
Other values (5624) 5624
99.8%
ValueCountFrequency (%)
https 5634
100.0%
ValueCountFrequency (%)
www.zomato.com 5598
99.4%
www.zomato 36
 
0.6%
ValueCountFrequency (%)
/bangalore/gufha-the-president-hotel-jayanagar 3
 
0.1%
/bangalore/goli-vada-pav-no-1-basavanagudi-bangalore 3
 
0.1%
/bangalore/ande-ka-funda-banashankari 3
 
0.1%
/bangalore/food-geek-basavanagudi-bangalore 3
 
0.1%
/bangalore/tandoori-knight-banashankari 3
 
0.1%
/bangalore/iceberg-icecreams-basavanagudi-bangalore 3
 
0.1%
/bangalore/grazers-jayanagar-bangalore 3
 
0.1%
/bangalore/cake-yard-1-basavanagudi 3
 
0.1%
/bangalore/hoppipola-church-street 3
 
0.1%
/bangalore/double-decker-1-brigade-road 3
 
0.1%
Other values (4396) 5604
99.5%
ValueCountFrequency (%)
context=eyJzZSI6eyJlIjpbNTg2OTQsIjE4Mzc1NDc0IiwiNTkwOTAiLCIxODM4Mjk0NCIsIjE4MjI0Njc2IiwiNTkyODkiLCIxODM3MzM4NiJdLCJ0IjoiUmVzdGF1cmFudHMgaW4gQmFuYXNoYW5rYXJpIHNlcnZpbmcgQnVmZmV0In19 1
 
< 0.1%
context=eyJzZSI6eyJlIjpbIjUxMDA4IiwiNTAwNDYiLCIxODc1NTI5NyIsIjE4Njg0MTc3IiwxODYzMjQzNiwiNTIzOTciLCI1MTg1OCIsIjUwNDA3IiwiMTg4ODE3MzMiLCIxODY0NTAxNSIsIjE4NjQyMDM3IiwiMTg1NjQ3MzEiLCIxODIwMzAyNCIsIjUxOTEyIiwiMTg2Njc1NzciXSwidCI6IkRlbGl2ZXJ5IFJlc3RhdXJhbnRzIGluIEJyaWdhZGUgUm9hZCJ9fQ== 1
 
< 0.1%
context=eyJzZSI6eyJlIjpbIjE4Njc4MDI2IiwiNTczMDciLCI1OTYyOSIsIjE4MjI0NjUwIiw1MjI1MywiNTEwMzgiLCIxODUyMzExOCIsIjE3OTU2NjcxIiwiNTA2NjEiLCIxODI3ODI0MSIsIjUwMjIwIiwiNjA1ODciLCI1NTU1NSIsIjE4NjI3NTc3IiwiMTg0NjM1NjYiLCIxODUxODY1MiJdLCJ0IjoiQ2FmXHUwMGU5cyBhbmQgRGVsaXMgaW4gQnJpZ2FkZSBSb2FkIn19 1
 
< 0.1%
context=eyJzZSI6eyJlIjpbIjE4NjI4MjA0IiwiMTg2NzgwMjYiLCI1NzMwNyIsIjU5NjI5IiwxODIyNDY1MCwiNTIyNTMiLCI1MTAzOCIsIjE4NTIzMTE4IiwiMTc5NTY2NzEiLCI1MDY2MSIsIjE4Mjc4MjQxIiwiNTAyMjAiLCI2MDU4NyIsIjU1NTU1IiwiMTg2Mjc1NzciLCIxODQ2MzU2NiIsIjE4NTE4NjUyIl0sInQiOiJDYWZcdTAwZTlzIGFuZCBEZWxpcyBpbiBCcmlnYWRlIFJvYWQifX0= 1
 
< 0.1%
context=eyJzZSI6eyJlIjpbIjE4NTA5ODA5IiwiMTg2MjgyMDQiLCIxODY3ODAyNiIsIjU3MzA3Iiw1OTYyOSwiMTgyMjQ2NTAiLCI1MjI1MyIsIjUxMDM4IiwiMTg1MjMxMTgiLCIxNzk1NjY3MSIsIjUwNjYxIiwiMTgyNzgyNDEiLCI1MDIyMCIsIjYwNTg3IiwiNTU1NTUiLCIxODYyNzU3NyIsIjE4NDYzNTY2IiwiMTg1MTg2NTIiXSwidCI6IkNhZlx1MDBlOXMgYW5kIERlbGlzIGluIEJyaWdhZGUgUm9hZCJ9fQ== 1
 
< 0.1%
context=eyJzZSI6eyJlIjpbIjE4MjA4Mzc3IiwiMTg1MDk4MDkiLCIxODYyODIwNCIsIjE4Njc4MDI2Iiw1NzMwNywiNTk2MjkiLCIxODIyNDY1MCIsIjUyMjUzIiwiNTEwMzgiLCIxODUyMzExOCIsIjE3OTU2NjcxIiwiNTA2NjEiLCIxODI3ODI0MSIsIjUwMjIwIiwiNjA1ODciLCI1NTU1NSIsIjE4NjI3NTc3IiwiMTg0NjM1NjYiLCIxODUxODY1MiJdLCJ0IjoiQ2FmXHUwMGU5cyBhbmQgRGVsaXMgaW4gQnJpZ2FkZSBSb2FkIn19 1
 
< 0.1%
context=eyJzZSI6eyJlIjpbIjE4NzA3NDY5IiwiMTgyMDgzNzciLCIxODUwOTgwOSIsIjE4NjI4MjA0IiwxODY3ODAyNiwiNTczMDciLCI1OTYyOSIsIjE4MjI0NjUwIiwiNTIyNTMiLCI1MTAzOCIsIjE4NTIzMTE4IiwiMTc5NTY2NzEiLCI1MDY2MSIsIjE4Mjc4MjQxIiwiNTAyMjAiLCI2MDU4NyIsIjU1NTU1IiwiMTg2Mjc1NzciLCIxODQ2MzU2NiIsIjE4NTE4NjUyIl0sInQiOiJDYWZcdTAwZTlzIGFuZCBEZWxpcyBpbiBCcmlnYWRlIFJvYWQifX0= 1
 
< 0.1%
context=eyJzZSI6eyJlIjpbIjE4NjYxMzI2IiwiMTg3MDc0NjkiLCIxODIwODM3NyIsIjE4NTA5ODA5IiwxODYyODIwNCwiMTg2NzgwMjYiLCI1NzMwNyIsIjU5NjI5IiwiMTgyMjQ2NTAiLCI1MjI1MyIsIjUxMDM4IiwiMTg1MjMxMTgiLCIxNzk1NjY3MSIsIjUwNjYxIiwiMTgyNzgyNDEiLCI1MDIyMCIsIjYwNTg3IiwiNTU1NTUiLCIxODYyNzU3NyIsIjE4NDYzNTY2IiwiMTg1MTg2NTIiXSwidCI6IkNhZlx1MDBlOXMgYW5kIERlbGlzIGluIEJyaWdhZGUgUm9hZCJ9fQ== 1
 
< 0.1%
context=eyJzZSI6eyJlIjpbIjE4MzkxNjA3IiwiMTg2NjEzMjYiLCIxODcwNzQ2OSIsIjE4MjA4Mzc3IiwxODUwOTgwOSwiMTg2MjgyMDQiLCIxODY3ODAyNiIsIjU3MzA3IiwiNTk2MjkiLCIxODIyNDY1MCIsIjUyMjUzIiwiNTEwMzgiLCIxODUyMzExOCIsIjE3OTU2NjcxIiwiNTA2NjEiLCIxODI3ODI0MSIsIjUwMjIwIiwiNjA1ODciLCI1NTU1NSIsIjE4NjI3NTc3IiwiMTg0NjM1NjYiLCIxODUxODY1MiJdLCJ0IjoiQ2FmXHUwMGU5cyBhbmQgRGVsaXMgaW4gQnJpZ2FkZSBSb2FkIn19 1
 
< 0.1%
context=eyJzZSI6eyJlIjpbIjE4ODExMDE5IiwiMTgzOTE2MDciLCIxODY2MTMyNiIsIjE4NzA3NDY5IiwxODIwODM3NywiMTg1MDk4MDkiLCIxODYyODIwNCIsIjE4Njc4MDI2IiwiNTczMDciLCI1OTYyOSIsIjE4MjI0NjUwIiwiNTIyNTMiLCI1MTAzOCIsIjE4NTIzMTE4IiwiMTc5NTY2NzEiLCI1MDY2MSIsIjE4Mjc4MjQxIiwiNTAyMjAiLCI2MDU4NyIsIjU1NTU1IiwiMTg2Mjc1NzciLCIxODQ2MzU2NiIsIjE4NTE4NjUyIl0sInQiOiJDYWZcdTAwZTlzIGFuZCBEZWxpcyBpbiBCcmlnYWRlIFJvYWQifX0= 1
 
< 0.1%
Other values (5624) 5624
99.8%
ValueCountFrequency (%)
5634
100.0%
Distinct4106
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Memory size690.1 KiB
2025-05-20T12:01:32.058768image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length180
Median length123
Mean length68.405751
Min length9

Characters and Unicode

Total characters385398
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2852 ?
Unique (%)50.6%

Sample

1st row942, 21st Main Road, 2nd Stage, Banashankari, Bangalore
2nd row2nd Floor, 80 Feet Road, Near Big Bazaar, 6th Block, Kathriguppe, 3rd Stage, Banashankari, Bangalore
3rd row1112, Next to KIMS Medical College, 17th Cross, 2nd Stage, Banashankari, Bangalore
4th row1st Floor, Annakuteera, 3rd Stage, Banashankari, Bangalore
5th row10, 3rd Floor, Lakshmi Associates, Gandhi Bazaar Main Road, Above Reliance Trends, Basavanagudi, Bangalore
ValueCountFrequency (%)
bangalore 5413
 
9.9%
road 4436
 
8.2%
main 1691
 
3.1%
nagar 1069
 
2.0%
cross 1061
 
1.9%
floor 930
 
1.7%
near 788
 
1.4%
opposite 774
 
1.4%
layout 738
 
1.4%
2nd 680
 
1.2%
Other values (4289) 36840
67.7%
2025-05-20T12:01:32.289180image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48927
 
12.7%
a 48610
 
12.6%
, 24200
 
6.3%
o 22061
 
5.7%
r 21756
 
5.6%
e 20733
 
5.4%
n 19641
 
5.1%
l 17251
 
4.5%
t 13151
 
3.4%
i 12251
 
3.2%
Other values (54) 136817
35.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 385398
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
48927
 
12.7%
a 48610
 
12.6%
, 24200
 
6.3%
o 22061
 
5.7%
r 21756
 
5.6%
e 20733
 
5.4%
n 19641
 
5.1%
l 17251
 
4.5%
t 13151
 
3.4%
i 12251
 
3.2%
Other values (54) 136817
35.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 385398
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
48927
 
12.7%
a 48610
 
12.6%
, 24200
 
6.3%
o 22061
 
5.7%
r 21756
 
5.6%
e 20733
 
5.4%
n 19641
 
5.1%
l 17251
 
4.5%
t 13151
 
3.4%
i 12251
 
3.2%
Other values (54) 136817
35.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 385398
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
48927
 
12.7%
a 48610
 
12.6%
, 24200
 
6.3%
o 22061
 
5.7%
r 21756
 
5.6%
e 20733
 
5.4%
n 19641
 
5.1%
l 17251
 
4.5%
t 13151
 
3.4%
i 12251
 
3.2%
Other values (54) 136817
35.5%

name
Text

Distinct3540
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Memory size401.1 KiB
2025-05-20T12:01:32.430118image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length63
Median length48
Mean length15.319134
Min length2

Characters and Unicode

Total characters86308
Distinct characters84
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2187 ?
Unique (%)38.8%

Sample

1st rowJalsa
2nd rowSpice Elephant
3rd rowSan Churro Cafe
4th rowAddhuri Udupi Bhojana
5th rowGrand Village
ValueCountFrequency (%)
443
 
3.1%
the 364
 
2.6%
cafe 314
 
2.2%
restaurant 311
 
2.2%
hotel 229
 
1.6%
biryani 187
 
1.3%
kitchen 167
 
1.2%
food 147
 
1.0%
sri 113
 
0.8%
house 106
 
0.7%
Other values (3255) 11820
83.2%
2025-05-20T12:01:32.625584image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 9887
 
11.5%
8567
 
9.9%
e 6808
 
7.9%
i 5096
 
5.9%
r 4666
 
5.4%
n 4470
 
5.2%
o 3855
 
4.5%
t 3795
 
4.4%
s 3308
 
3.8%
h 2966
 
3.4%
Other values (74) 32890
38.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 86308
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 9887
 
11.5%
8567
 
9.9%
e 6808
 
7.9%
i 5096
 
5.9%
r 4666
 
5.4%
n 4470
 
5.2%
o 3855
 
4.5%
t 3795
 
4.4%
s 3308
 
3.8%
h 2966
 
3.4%
Other values (74) 32890
38.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 86308
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 9887
 
11.5%
8567
 
9.9%
e 6808
 
7.9%
i 5096
 
5.9%
r 4666
 
5.4%
n 4470
 
5.2%
o 3855
 
4.5%
t 3795
 
4.4%
s 3308
 
3.8%
h 2966
 
3.4%
Other values (74) 32890
38.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 86308
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 9887
 
11.5%
8567
 
9.9%
e 6808
 
7.9%
i 5096
 
5.9%
r 4666
 
5.4%
n 4470
 
5.2%
o 3855
 
4.5%
t 3795
 
4.4%
s 3308
 
3.8%
h 2966
 
3.4%
Other values (74) 32890
38.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
True
3435 
False
2199 
ValueCountFrequency (%)
True 3435
61.0%
False 2199
39.0%
2025-05-20T12:01:32.694832image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

book_table
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
False
5052 
True
582 
ValueCountFrequency (%)
False 5052
89.7%
True 582
 
10.3%
2025-05-20T12:01:32.732366image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

rate
Text

Missing 

Distinct52
Distinct (%)1.1%
Missing835
Missing (%)14.8%
Memory size316.2 KiB
2025-05-20T12:01:32.808228image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.8824755
Min length1

Characters and Unicode

Total characters23431
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row4.1/5
2nd row4.1/5
3rd row3.8/5
4th row3.7/5
5th row3.8/5
ValueCountFrequency (%)
3.7/5 432
 
8.9%
3.9/5 429
 
8.8%
3.8/5 423
 
8.7%
3.6/5 391
 
8.0%
4.0/5 331
 
6.8%
new 304
 
6.2%
3.5/5 297
 
6.1%
4.1/5 270
 
5.5%
3.4/5 256
 
5.2%
3.3/5 237
 
4.9%
Other values (43) 1509
30.9%
2025-05-20T12:01:32.950544image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4833
20.6%
. 4486
19.1%
/ 4486
19.1%
3 3459
14.8%
4 1525
 
6.5%
2 719
 
3.1%
9 548
 
2.3%
8 506
 
2.2%
7 486
 
2.1%
0 476
 
2.0%
Other values (7) 1907
 
8.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 23431
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5 4833
20.6%
. 4486
19.1%
/ 4486
19.1%
3 3459
14.8%
4 1525
 
6.5%
2 719
 
3.1%
9 548
 
2.3%
8 506
 
2.2%
7 486
 
2.1%
0 476
 
2.0%
Other values (7) 1907
 
8.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 23431
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5 4833
20.6%
. 4486
19.1%
/ 4486
19.1%
3 3459
14.8%
4 1525
 
6.5%
2 719
 
3.1%
9 548
 
2.3%
8 506
 
2.2%
7 486
 
2.1%
0 476
 
2.0%
Other values (7) 1907
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 23431
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5 4833
20.6%
. 4486
19.1%
/ 4486
19.1%
3 3459
14.8%
4 1525
 
6.5%
2 719
 
3.1%
9 548
 
2.3%
8 506
 
2.2%
7 486
 
2.1%
0 476
 
2.0%
Other values (7) 1907
 
8.1%

votes
Real number (ℝ)

Zeros 

Distinct820
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.85091
Minimum0
Maximum16345
Zeros1149
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size44.1 KiB
2025-05-20T12:01:33.020411image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median38
Q3166.75
95-th percentile960.9
Maximum16345
Range16345
Interquartile range (IQR)160.75

Descriptive statistics

Standard deviation622.01353
Coefficient of variation (CV)2.8164409
Kurtosis123.6677
Mean220.85091
Median Absolute Deviation (MAD)38
Skewness8.3998221
Sum1244274
Variance386900.83
MonotonicityNot monotonic
2025-05-20T12:01:33.078062image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1149
 
20.4%
4 127
 
2.3%
6 96
 
1.7%
9 85
 
1.5%
10 84
 
1.5%
8 80
 
1.4%
7 77
 
1.4%
11 76
 
1.3%
5 62
 
1.1%
16 53
 
0.9%
Other values (810) 3745
66.5%
ValueCountFrequency (%)
0 1149
20.4%
2 1
 
< 0.1%
4 127
 
2.3%
5 62
 
1.1%
6 96
 
1.7%
7 77
 
1.4%
8 80
 
1.4%
9 85
 
1.5%
10 84
 
1.5%
11 76
 
1.3%
ValueCountFrequency (%)
16345 1
 
< 0.1%
8375 2
< 0.1%
7544 2
< 0.1%
7193 3
0.1%
7023 2
< 0.1%
5746 1
 
< 0.1%
5262 2
< 0.1%
5060 1
 
< 0.1%
4884 2
< 0.1%
4732 2
< 0.1%

phone
Real number (ℝ)

Distinct5325
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3726236 × 1023
Minimum2233552
Maximum9.1988662 × 1024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.1 KiB
2025-05-20T12:01:33.138796image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum2233552
5-th percentile8.0496522 × 108
Q19.1900805 × 1010
median9.1953527 × 1011
Q39.1974003 × 1021
95-th percentile9.1953588 × 1023
Maximum9.1988662 × 1024
Range9.1988662 × 1024
Interquartile range (IQR)9.1974003 × 1021

Descriptive statistics

Standard deviation4.0689907 × 1023
Coefficient of variation (CV)2.9643893
Kurtosis216.22041
Mean1.3726236 × 1023
Median Absolute Deviation (MAD)9.1149369 × 1011
Skewness10.652698
Sum7.7333613 × 1026
Variance1.6556686 × 1047
MonotonicityNot monotonic
2025-05-20T12:01:33.192077image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8043334321 20
 
0.4%
804333432 10
 
0.2%
9.1819717 × 10116
 
0.1%
9.198855767 × 10116
 
0.1%
8033994444 6
 
0.1%
9.1819717 × 10105
 
0.1%
804333433 5
 
0.1%
8043334333 5
 
0.1%
9.196113117 × 10114
 
0.1%
9.190360704 × 10104
 
0.1%
Other values (5315) 5563
98.7%
ValueCountFrequency (%)
2233552 1
< 0.1%
4333432 1
< 0.1%
8021231 1
< 0.1%
8026916 1
< 0.1%
8041311 1
< 0.1%
8041539 1
< 0.1%
8043334 1
< 0.1%
8046640 1
< 0.1%
8048533 1
< 0.1%
8049148 1
< 0.1%
ValueCountFrequency (%)
9.198866184 × 10241
< 0.1%
9.196863656 × 10241
< 0.1%
9.190083339 × 10241
< 0.1%
9.177958086 × 10241
< 0.1%
9.173497349 × 10241
< 0.1%
9.199869535 × 10231
< 0.1%
9.199868343 × 10231
< 0.1%
9.199867123 × 10231
< 0.1%
9.199866712 × 10231
< 0.1%
9.199866589 × 10231
< 0.1%
Distinct64
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size375.8 KiB
2025-05-20T12:01:33.287501image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length29
Median length21
Mean length11.271388
Min length3

Characters and Unicode

Total characters63503
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.2%

Sample

1st rowBanashankari
2nd rowBanashankari
3rd rowBanashankari
4th rowBanashankari
5th rowBasavanagudi
ValueCountFrequency (%)
road 1666
19.6%
nagar 609
 
7.2%
bannerghatta 598
 
7.0%
jp 472
 
5.6%
bellandur 464
 
5.5%
banashankari 457
 
5.4%
jayanagar 404
 
4.8%
marathahalli 316
 
3.7%
basavanagudi 308
 
3.6%
whitefield 305
 
3.6%
Other values (70) 2886
34.0%
2025-05-20T12:01:33.448087image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 13438
21.2%
r 4794
 
7.5%
n 4289
 
6.8%
d 3356
 
5.3%
e 2903
 
4.6%
2851
 
4.5%
i 2756
 
4.3%
o 2622
 
4.1%
h 2611
 
4.1%
t 2510
 
4.0%
Other values (44) 21373
33.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 63503
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 13438
21.2%
r 4794
 
7.5%
n 4289
 
6.8%
d 3356
 
5.3%
e 2903
 
4.6%
2851
 
4.5%
i 2756
 
4.3%
o 2622
 
4.1%
h 2611
 
4.1%
t 2510
 
4.0%
Other values (44) 21373
33.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 63503
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 13438
21.2%
r 4794
 
7.5%
n 4289
 
6.8%
d 3356
 
5.3%
e 2903
 
4.6%
2851
 
4.5%
i 2756
 
4.3%
o 2622
 
4.1%
h 2611
 
4.1%
t 2510
 
4.0%
Other values (44) 21373
33.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 63503
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 13438
21.2%
r 4794
 
7.5%
n 4289
 
6.8%
d 3356
 
5.3%
e 2903
 
4.6%
2851
 
4.5%
i 2756
 
4.3%
o 2622
 
4.1%
h 2611
 
4.1%
t 2510
 
4.0%
Other values (44) 21373
33.7%
Distinct71
Distinct (%)1.3%
Missing25
Missing (%)0.4%
Memory size378.0 KiB
2025-05-20T12:01:33.534938image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length29
Median length27
Mean length11.850241
Min length3

Characters and Unicode

Total characters66468
Distinct characters35
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.2%

Sample

1st rowCasual Dining
2nd rowCasual Dining
3rd rowCafe, Casual Dining
4th rowQuick Bites
5th rowCasual Dining
ValueCountFrequency (%)
quick 2290
21.1%
bites 2290
21.1%
dining 1465
13.5%
casual 1412
13.0%
delivery 563
 
5.2%
cafe 436
 
4.0%
dessert 361
 
3.3%
parlor 361
 
3.3%
shop 261
 
2.4%
takeaway 259
 
2.4%
Other values (18) 1174
10.8%
2025-05-20T12:01:33.673568image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 8194
 
12.3%
e 5952
 
9.0%
5263
 
7.9%
a 4991
 
7.5%
s 4499
 
6.8%
u 3938
 
5.9%
n 3042
 
4.6%
B 2875
 
4.3%
t 2851
 
4.3%
k 2802
 
4.2%
Other values (25) 22061
33.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 66468
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 8194
 
12.3%
e 5952
 
9.0%
5263
 
7.9%
a 4991
 
7.5%
s 4499
 
6.8%
u 3938
 
5.9%
n 3042
 
4.6%
B 2875
 
4.3%
t 2851
 
4.3%
k 2802
 
4.2%
Other values (25) 22061
33.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 66468
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 8194
 
12.3%
e 5952
 
9.0%
5263
 
7.9%
a 4991
 
7.5%
s 4499
 
6.8%
u 3938
 
5.9%
n 3042
 
4.6%
B 2875
 
4.3%
t 2851
 
4.3%
k 2802
 
4.2%
Other values (25) 22061
33.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 66468
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 8194
 
12.3%
e 5952
 
9.0%
5263
 
7.9%
a 4991
 
7.5%
s 4499
 
6.8%
u 3938
 
5.9%
n 3042
 
4.6%
B 2875
 
4.3%
t 2851
 
4.3%
k 2802
 
4.2%
Other values (25) 22061
33.2%
Distinct1757
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size479.8 KiB
2025-05-20T12:01:33.828402image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length134
Median length5
Mean length30.175719
Min length2

Characters and Unicode

Total characters170010
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1171 ?
Unique (%)20.8%

Sample

1st rowPasta, Lunch Buffet, Masala Papad, Paneer Lajawab, Tomato Shorba, Dum Biryani, Sweet Corn Soup
2nd rowMomos, Lunch Buffet, Chocolate Nirvana, Thai Green Curry, Paneer Tikka, Dum Biryani, Chicken Biryani
3rd rowChurros, Cannelloni, Minestrone Soup, Hot Chocolate, Pink Sauce Pasta, Salsa, Veg Supreme Pizza
4th rowMasala Dosa
5th rowPanipuri, Gol Gappe
ValueCountFrequency (%)
false 3195
 
12.9%
chicken 1424
 
5.8%
biryani 894
 
3.6%
pizza 420
 
1.7%
pasta 406
 
1.6%
masala 380
 
1.5%
coffee 316
 
1.3%
paneer 315
 
1.3%
chocolate 308
 
1.2%
dosa 276
 
1.1%
Other values (1015) 16768
67.9%
2025-05-20T12:01:34.061736image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 19467
 
11.5%
19068
 
11.2%
e 14329
 
8.4%
, 10559
 
6.2%
i 9910
 
5.8%
l 8448
 
5.0%
s 8397
 
4.9%
r 7292
 
4.3%
o 6738
 
4.0%
n 6287
 
3.7%
Other values (44) 59515
35.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 170010
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 19467
 
11.5%
19068
 
11.2%
e 14329
 
8.4%
, 10559
 
6.2%
i 9910
 
5.8%
l 8448
 
5.0%
s 8397
 
4.9%
r 7292
 
4.3%
o 6738
 
4.0%
n 6287
 
3.7%
Other values (44) 59515
35.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 170010
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 19467
 
11.5%
19068
 
11.2%
e 14329
 
8.4%
, 10559
 
6.2%
i 9910
 
5.8%
l 8448
 
5.0%
s 8397
 
4.9%
r 7292
 
4.3%
o 6738
 
4.0%
n 6287
 
3.7%
Other values (44) 59515
35.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 170010
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 19467
 
11.5%
19068
 
11.2%
e 14329
 
8.4%
, 10559
 
6.2%
i 9910
 
5.8%
l 8448
 
5.0%
s 8397
 
4.9%
r 7292
 
4.3%
o 6738
 
4.0%
n 6287
 
3.7%
Other values (44) 59515
35.0%
Distinct1361
Distinct (%)24.2%
Missing5
Missing (%)0.1%
Memory size442.3 KiB
2025-05-20T12:01:34.189560image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length86
Median length76
Mean length23.416237
Min length3

Characters and Unicode

Total characters131810
Distinct characters50
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique621 ?
Unique (%)11.0%

Sample

1st rowNorth Indian, Mughlai, Chinese
2nd rowChinese, North Indian, Thai
3rd rowCafe, Mexican, Italian
4th rowSouth Indian, North Indian
5th rowNorth Indian, Rajasthani
ValueCountFrequency (%)
indian 3413
18.3%
north 2316
12.5%
chinese 1633
 
8.8%
food 1431
 
7.7%
south 1094
 
5.9%
fast 895
 
4.8%
biryani 761
 
4.1%
desserts 620
 
3.3%
beverages 525
 
2.8%
continental 499
 
2.7%
Other values (88) 5413
29.1%
2025-05-20T12:01:34.376189image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12971
 
9.8%
n 12532
 
9.5%
a 11106
 
8.4%
e 10473
 
7.9%
i 9200
 
7.0%
, 7863
 
6.0%
o 7830
 
5.9%
t 7390
 
5.6%
r 6580
 
5.0%
h 5969
 
4.5%
Other values (40) 39896
30.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131810
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
12971
 
9.8%
n 12532
 
9.5%
a 11106
 
8.4%
e 10473
 
7.9%
i 9200
 
7.0%
, 7863
 
6.0%
o 7830
 
5.9%
t 7390
 
5.6%
r 6580
 
5.0%
h 5969
 
4.5%
Other values (40) 39896
30.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131810
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
12971
 
9.8%
n 12532
 
9.5%
a 11106
 
8.4%
e 10473
 
7.9%
i 9200
 
7.0%
, 7863
 
6.0%
o 7830
 
5.9%
t 7390
 
5.6%
r 6580
 
5.0%
h 5969
 
4.5%
Other values (40) 39896
30.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131810
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
12971
 
9.8%
n 12532
 
9.5%
a 11106
 
8.4%
e 10473
 
7.9%
i 9200
 
7.0%
, 7863
 
6.0%
o 7830
 
5.9%
t 7390
 
5.6%
r 6580
 
5.0%
h 5969
 
4.5%
Other values (40) 39896
30.3%
Distinct52
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size331.5 KiB
2025-05-20T12:01:34.468600image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2250621
Min length2

Characters and Unicode

Total characters18170
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.2%

Sample

1st row800
2nd row800
3rd row800
4th row300
5th row600
ValueCountFrequency (%)
300 839
14.9%
400 758
13.5%
200 546
9.7%
500 527
9.4%
600 385
 
6.8%
250 352
 
6.2%
150 273
 
4.8%
800 261
 
4.6%
350 196
 
3.5%
700 180
 
3.2%
Other values (42) 1317
23.4%
2025-05-20T12:01:34.608917image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10191
56.1%
5 1995
 
11.0%
3 1110
 
6.1%
2 1082
 
6.0%
1 1009
 
5.6%
4 962
 
5.3%
, 637
 
3.5%
6 499
 
2.7%
8 311
 
1.7%
7 291
 
1.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 18170
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 10191
56.1%
5 1995
 
11.0%
3 1110
 
6.1%
2 1082
 
6.0%
1 1009
 
5.6%
4 962
 
5.3%
, 637
 
3.5%
6 499
 
2.7%
8 311
 
1.7%
7 291
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 18170
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 10191
56.1%
5 1995
 
11.0%
3 1110
 
6.1%
2 1082
 
6.0%
1 1009
 
5.6%
4 962
 
5.3%
, 637
 
3.5%
6 499
 
2.7%
8 311
 
1.7%
7 291
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 18170
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 10191
56.1%
5 1995
 
11.0%
3 1110
 
6.1%
2 1082
 
6.0%
1 1009
 
5.6%
4 962
 
5.3%
, 637
 
3.5%
6 499
 
2.7%
8 311
 
1.7%
7 291
 
1.6%

reviews_list
Boolean

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
False
5634 
ValueCountFrequency (%)
False 5634
100.0%
2025-05-20T12:01:34.666775image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Distinct1098
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
2025-05-20T12:01:34.811184image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length13155
Median length2
Mean length456.15495
Min length2

Characters and Unicode

Total characters2569977
Distinct characters97
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1049 ?
Unique (%)18.6%

Sample

1st row[]
2nd row[]
3rd row[]
4th row[]
5th row[]
ValueCountFrequency (%)
chicken 19706
 
5.6%
veg 8984
 
2.6%
paneer 6718
 
1.9%
rice 6610
 
1.9%
5931
 
1.7%
masala 5475
 
1.6%
fried 4430
 
1.3%
egg 4220
 
1.2%
biryani 3927
 
1.1%
with 3833
 
1.1%
Other values (8985) 279973
80.0%
2025-05-20T12:01:35.056040image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344299
 
13.4%
' 227765
 
8.9%
a 206566
 
8.0%
e 186566
 
7.3%
i 138838
 
5.4%
, 113637
 
4.4%
r 104180
 
4.1%
o 97913
 
3.8%
n 95676
 
3.7%
h 85151
 
3.3%
Other values (87) 969386
37.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2569977
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
344299
 
13.4%
' 227765
 
8.9%
a 206566
 
8.0%
e 186566
 
7.3%
i 138838
 
5.4%
, 113637
 
4.4%
r 104180
 
4.1%
o 97913
 
3.8%
n 95676
 
3.7%
h 85151
 
3.3%
Other values (87) 969386
37.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2569977
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
344299
 
13.4%
' 227765
 
8.9%
a 206566
 
8.0%
e 186566
 
7.3%
i 138838
 
5.4%
, 113637
 
4.4%
r 104180
 
4.1%
o 97913
 
3.8%
n 95676
 
3.7%
h 85151
 
3.3%
Other values (87) 969386
37.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2569977
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
344299
 
13.4%
' 227765
 
8.9%
a 206566
 
8.0%
e 186566
 
7.3%
i 138838
 
5.4%
, 113637
 
4.4%
r 104180
 
4.1%
o 97913
 
3.8%
n 95676
 
3.7%
h 85151
 
3.3%
Other values (87) 969386
37.7%

listed_in(type)
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size357.5 KiB
Delivery
3525 
Dine-out
1342 
Desserts
 
297
Cafes
 
232
Buffet
 
151
Other values (2)
 
87

Length

Max length18
Median length8
Mean length7.9453319
Min length5

Characters and Unicode

Total characters44764
Distinct characters25
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBuffet
2nd rowBuffet
3rd rowBuffet
4th rowBuffet
5th rowBuffet

Common Values

ValueCountFrequency (%)
Delivery 3525
62.6%
Dine-out 1342
 
23.8%
Desserts 297
 
5.3%
Cafes 232
 
4.1%
Buffet 151
 
2.7%
Drinks & nightlife 51
 
0.9%
Pubs and bars 36
 
0.6%

Length

2025-05-20T12:01:35.133675image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-20T12:01:35.180428image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
ValueCountFrequency (%)
delivery 3525
60.7%
dine-out 1342
 
23.1%
desserts 297
 
5.1%
cafes 232
 
4.0%
buffet 151
 
2.6%
drinks 51
 
0.9%
51
 
0.9%
nightlife 51
 
0.9%
pubs 36
 
0.6%
and 36
 
0.6%

Most occurring characters

ValueCountFrequency (%)
e 9420
21.0%
D 5215
11.6%
i 5020
11.2%
r 3909
8.7%
l 3576
 
8.0%
v 3525
 
7.9%
y 3525
 
7.9%
t 1841
 
4.1%
u 1529
 
3.4%
n 1480
 
3.3%
Other values (15) 5724
12.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 44764
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 9420
21.0%
D 5215
11.6%
i 5020
11.2%
r 3909
8.7%
l 3576
 
8.0%
v 3525
 
7.9%
y 3525
 
7.9%
t 1841
 
4.1%
u 1529
 
3.4%
n 1480
 
3.3%
Other values (15) 5724
12.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 44764
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 9420
21.0%
D 5215
11.6%
i 5020
11.2%
r 3909
8.7%
l 3576
 
8.0%
v 3525
 
7.9%
y 3525
 
7.9%
t 1841
 
4.1%
u 1529
 
3.4%
n 1480
 
3.3%
Other values (15) 5724
12.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 44764
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 9420
21.0%
D 5215
11.6%
i 5020
11.2%
r 3909
8.7%
l 3576
 
8.0%
v 3525
 
7.9%
y 3525
 
7.9%
t 1841
 
4.1%
u 1529
 
3.4%
n 1480
 
3.3%
Other values (15) 5724
12.8%

listed_in(city)
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size382.8 KiB
Brigade Road
1338 
Bannerghatta Road
1314 
Bellandur
966 
Banashankari
708 
Basavanagudi
704 

Length

Max length17
Median length12
Mean length12.544551
Min length9

Characters and Unicode

Total characters70676
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBanashankari
2nd rowBanashankari
3rd rowBanashankari
4th rowBanashankari
5th rowBanashankari

Common Values

ValueCountFrequency (%)
Brigade Road 1338
23.7%
Bannerghatta Road 1314
23.3%
Bellandur 966
17.1%
Banashankari 708
12.6%
Basavanagudi 704
12.5%
Brookefield 604
10.7%

Length

2025-05-20T12:01:35.244362image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-20T12:01:35.299168image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
ValueCountFrequency (%)
road 2652
32.0%
brigade 1338
16.1%
bannerghatta 1314
15.9%
bellandur 966
 
11.7%
banashankari 708
 
8.5%
basavanagudi 704
 
8.5%
brookefield 604
 
7.3%

Most occurring characters

ValueCountFrequency (%)
a 14546
20.6%
d 6264
8.9%
n 5714
 
8.1%
B 5634
 
8.0%
r 4930
 
7.0%
e 4826
 
6.8%
o 3860
 
5.5%
g 3356
 
4.7%
i 3354
 
4.7%
2652
 
3.8%
Other values (9) 15540
22.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 70676
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 14546
20.6%
d 6264
8.9%
n 5714
 
8.1%
B 5634
 
8.0%
r 4930
 
7.0%
e 4826
 
6.8%
o 3860
 
5.5%
g 3356
 
4.7%
i 3354
 
4.7%
2652
 
3.8%
Other values (9) 15540
22.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 70676
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 14546
20.6%
d 6264
8.9%
n 5714
 
8.1%
B 5634
 
8.0%
r 4930
 
7.0%
e 4826
 
6.8%
o 3860
 
5.5%
g 3356
 
4.7%
i 3354
 
4.7%
2652
 
3.8%
Other values (9) 15540
22.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 70676
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 14546
20.6%
d 6264
8.9%
n 5714
 
8.1%
B 5634
 
8.0%
r 4930
 
7.0%
e 4826
 
6.8%
o 3860
 
5.5%
g 3356
 
4.7%
i 3354
 
4.7%
2652
 
3.8%
Other values (9) 15540
22.0%

Interactions

2025-05-20T12:00:50.817346image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2025-05-20T12:00:29.211062image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2025-05-20T12:01:00.300233image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2025-05-20T12:00:29.299212image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Correlations

2025-05-20T12:01:35.340738image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
book_tablelisted_in(city)listed_in(type)online_orderphonevotes
book_table1.0000.1600.2890.0000.1690.309
listed_in(city)0.1601.0000.1430.1090.1350.049
listed_in(type)0.2890.1431.0000.3640.0970.076
online_order0.0000.1090.3641.0000.1900.008
phone0.1690.1350.0970.1901.0000.078
votes0.3090.0490.0760.0080.0781.000

Missing values

2025-05-20T12:01:31.601169image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-20T12:01:31.744152image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-20T12:01:31.868545image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

urladdressnameonline_orderbook_tableratevotesphonelocationrest_typedish_likedcuisinesapprox_cost(for two people)reviews_listmenu_itemlisted_in(type)listed_in(city)
0https://www.zomato.com/bangalore/jalsa-banashankari?context=eyJzZSI6eyJlIjpbNTg2OTQsIjE4Mzc1NDc0IiwiNTkwOTAiLCIxODM4Mjk0NCIsIjE4MjI0Njc2IiwiNTkyODkiLCIxODM3MzM4NiJdLCJ0IjoiUmVzdGF1cmFudHMgaW4gQmFuYXNoYW5rYXJpIHNlcnZpbmcgQnVmZmV0In19942, 21st Main Road, 2nd Stage, Banashankari, BangaloreJalsaYesYes4.1/57758042297555919743772233BanashankariCasual DiningPasta, Lunch Buffet, Masala Papad, Paneer Lajawab, Tomato Shorba, Dum Biryani, Sweet Corn SoupNorth Indian, Mughlai, Chinese800False[]BuffetBanashankari
1https://www.zomato.com/bangalore/spice-elephant-banashankari?context=eyJzZSI6eyJlIjpbIjU4Njk0IiwxODM3NTQ3NCwiNTkwOTAiLCIxODM4Mjk0NCIsIjE4MjI0Njc2IiwiNTkyODkiLCIxODM3MzM4NiJdLCJ0IjoiUmVzdGF1cmFudHMgaW4gQmFuYXNoYW5rYXJpIHNlcnZpbmcgQnVmZmV0In192nd Floor, 80 Feet Road, Near Big Bazaar, 6th Block, Kathriguppe, 3rd Stage, Banashankari, BangaloreSpice ElephantYesNo4.1/57878041714161BanashankariCasual DiningMomos, Lunch Buffet, Chocolate Nirvana, Thai Green Curry, Paneer Tikka, Dum Biryani, Chicken BiryaniChinese, North Indian, Thai800False[]BuffetBanashankari
2https://www.zomato.com/SanchurroBangalore?context=eyJzZSI6eyJlIjpbIjU4Njk0IiwiMTgzNzU0NzQiLDU5MDkwLCIxODM4Mjk0NCIsIjE4MjI0Njc2IiwiNTkyODkiLCIxODM3MzM4NiJdLCJ0IjoiUmVzdGF1cmFudHMgaW4gQmFuYXNoYW5rYXJpIHNlcnZpbmcgQnVmZmV0In191112, Next to KIMS Medical College, 17th Cross, 2nd Stage, Banashankari, BangaloreSan Churro CafeYesNo3.8/591891966348799BanashankariCafe, Casual DiningChurros, Cannelloni, Minestrone Soup, Hot Chocolate, Pink Sauce Pasta, Salsa, Veg Supreme PizzaCafe, Mexican, Italian800False[]BuffetBanashankari
3https://www.zomato/bangalore/addhuri-udupi-bhojana-banashankari?context=eyJzZSI6eyJlIjpbIjU4Njk0IiwiMTgzNzU0NzQiLCI1OTA5MCIsMTgzODI5NDQsIjE4MjI0Njc2IiwiNTkyODkiLCIxODM3MzM4NiJdLCJ0IjoiUmVzdGF1cmFudHMgaW4gQmFuYXNoYW5rYXJpIHNlcnZpbmcgQnVmZmV0In191st Floor, Annakuteera, 3rd Stage, Banashankari, BangaloreAddhuri Udupi BhojanaNoNo3.7/588919620009302BanashankariQuick BitesMasala DosaSouth Indian, North Indian300False[]BuffetBanashankari
4https://www.zomato.com/bangalore/grand-village-basavanagudi?context=eyJzZSI6eyJlIjpbIjU4Njk0IiwiMTgzNzU0NzQiLCI1OTA5MCIsIjE4MzgyOTQ0IiwxODIyNDY3NiwiNTkyODkiLCIxODM3MzM4NiJdLCJ0IjoiUmVzdGF1cmFudHMgaW4gQmFuYXNoYW5rYXJpIHNlcnZpbmcgQnVmZmV0In1910, 3rd Floor, Lakshmi Associates, Gandhi Bazaar Main Road, Above Reliance Trends, Basavanagudi, BangaloreGrand VillageNoNo3.8/516691802661244791990121000BasavanagudiCasual DiningPanipuri, Gol GappeNorth Indian, Rajasthani600False[]BuffetBanashankari
5https://www.zomato/bangalore/timepass-dinner-basavanagudi?context=eyJzZSI6eyJlIjpbIjE4Mzc1NDc0IiwiNTkwOTAiLCIxODM4Mjk0NCIsIjE4MjI0Njc2Iiw1OTI4OSwiMTgzNzMzODYiXSwidCI6IlJlc3RhdXJhbnRzIGluIEJhbmFzaGFua2FyaSBzZXJ2aW5nIEJ1ZmZldCJ9fQ==37, 51, 4th Floor, Bosco Court, Gandhi Bazaar Main Road, Basavanagudi, BangaloreTimepass DinnerYesNo3.8/528691998004000291998006300BasavanagudiCasual DiningOnion Rings, Pasta, Kadhai Paneer, Salads, Salad, Roti, Jeera RiceNorth Indian600False[]BuffetBanashankari
6https://www.zomato.com/bangalore/rosewood-international-hotel-bar-restaurant-mysore-road-bangalore?context=eyJzZSI6eyJlIjpbIjU5MDkwIiwiMTgzODI5NDQiLCIxODIyNDY3NiIsIjU5Mjg5IiwxODM3MzM4Nl0sInQiOiJSZXN0YXVyYW50cyBpbiBCYW5hc2hhbmthcmkgc2VydmluZyBCdWZmZXQifX0=191, New Timberyard Layout, Beside Satellite Bus Stop, Mysore Road, BangaloreRosewood International Hotel - Bar & RestaurantNoNo3.6/589197317166880802674036Mysore RoadCasual DiningFalseNorth Indian, South Indian, Andhra, Chinese800False[]BuffetBanashankari
7https://www.zomato/bangalore/onesta-banashankari?context=eyJzZSI6eyJlIjpbMTg1NjU2NzksIjE4NTkzMDQ0IiwiMTgxNDg5NDEiLCIxODQ3MDc3MSIsIjE4NzE2MDYxIiwiMTg2MzI5NzciLCIxODIwMjk5NyIsIjU5MDkwIiwiMTg1NTkyMTEiLCIxODMyMzYzOSIsIjE4NTc0Mjc3Il0sInQiOiJDYWZcdTAwZTlzIGFuZCBEZWxpcyBpbiBCYW5hc2hhbmthcmkifX0=2469, 3rd Floor, 24th Cross, Opposite BDA Complex, 2nd Stage, Banashankari, BangaloreOnestaYesYes4.6/52556804865396108048655715BanashankariCasual Dining, CafeFarmhouse Pizza, Chocolate Banana, Virgin Mojito, Pasta, Paneer Tikka, Lime Soda, Prawn PizzaPizza, Cafe, Italian600False[]CafesBanashankari
8https://www.zomato.com/bangalore/penthouse-cafe-banashankari?context=eyJzZSI6eyJlIjpbIjE4NTY1Njc5IiwxODU5MzA0NCwiMTgxNDg5NDEiLCIxODQ3MDc3MSIsIjE4NzE2MDYxIiwiMTg2MzI5NzciLCIxODIwMjk5NyIsIjU5MDkwIiwiMTg1NTkyMTEiLCIxODMyMzYzOSIsIjE4NTc0Mjc3IiwiMTg3MjM0OTQiXSwidCI6IkNhZlx1MDBlOXMgYW5kIERlbGlzIGluIEJhbmFzaGFua2FyaSJ9fQ==1, 30th Main Road, 3rd Stage, Banashankari, BangalorePenthouse CafeYesNo4.0/5324918884135549919449449316BanashankariCafePizza, Mocktails, Coffee, Nachos, Salad, Pasta, SandwichesCafe, Italian, Continental700False[]CafesBanashankari
9https://www.zomato.com/bangalore/smacznego-banashankari?context=eyJzZSI6eyJlIjpbIjE4NTY1Njc5IiwiMTg1OTMwNDQiLDE4MTQ4OTQxLCIxODQ3MDc3MSIsIjE4NzE2MDYxIiwiMTg2MzI5NzciLCIxODIwMjk5NyIsIjU5MDkwIiwiMTg1NTkyMTEiLCIxODMyMzYzOSIsIjE4NTc0Mjc3IiwiMTg3MjM0OTQiLCIxODg2NzEyMiJdLCJ0IjoiQ2FmXHUwMGU5cyBhbmQgRGVsaXMgaW4gQmFuYXNoYW5rYXJpIn192470, 21 Main Road, 25th Cross, Banashankari, BangaloreSmacznegoYesNo4.2/550491994523080791974380447BanashankariCafeWaffles, Pasta, Coleslaw Sandwich, Choco Waffle, Tacos, Momos, Cheese NachosCafe, Mexican, Italian, Momos, Beverages550False[]CafesBanashankari
urladdressnameonline_orderbook_tableratevotesphonelocationrest_typedish_likedcuisinesapprox_cost(for two people)reviews_listmenu_itemlisted_in(type)listed_in(city)
5624https://www.zomato.com/bangalore/puchkas-marathahalli?context=eyJzZSI6eyJlIjpbIjE4NDIxODc2IiwiMTgwMjIyODYiLCIxODc1Mzc3OCIsIjE4NjI1NTcxIiw1NTQ1NywiMTg1ODIwMTYiLCIxODYxMDAyNiIsIjE4Njc5MDg0IiwiNTUwNDIiLCIxODM0Mzk5MiIsIjE4NzAwODU4IiwiNTY4NzciLCIxODE2MDA5OCIsIjE4NTQ5MzYzIiwiMTgyMzc5MTQiXSwidCI6IkRlbGl2ZXJ5IFJlc3RhdXJhbnRzIGluIEJyb29rZWZpZWxkIn19Silver Springs Layout, Near Spice Garden Restaurant, Marathahalli, BangalorePuchkasYesNo4.1/5673919008011110918050403007MarathahalliQuick BitesChaat, Panipuri, Jalebi, Vada Pav, Samosa, Gol Gappe, Chole BhatureStreet Food, North Indian200False['Aloo Paratha', 'Aloo Pyaaz Paratha', 'Paneer Paratha', 'Kesaria Jalebi (4pcs)', 'Bhel Puri', 'Tawa Pav Bhaji', 'Chhola Bhatura', 'Paani Puri 3 Plates', 'Aloo Paratha', 'Aloo Pyaaz Paratha', 'Gobi Paratha', 'Matar Paratha', 'Mooli Paratha', 'Paneer Paratha', 'Pyaaz Paratha', 'Mix Paratha', 'Bread Butter Jam Sandwich', 'Veg Cheese Paneer Sandwich', 'Veg Cheese Sandwich', 'Veg Mayonnaise Sandwich', 'Veg Sandwich', 'Veg Paneer Cheese Roll', 'Veg Cheese Roll', 'Veg Paneer Roll', 'Veg Roll', 'Cheesy Nachos', 'French Fries', 'Onion Rings', 'Potato Twister', 'Gulab Jamun', 'Rasmalai', 'Kulfi', 'Kesaria Jalebi (4pcs)', 'Rasgulla', 'Rajbhog', 'Moong Dal Halwa', 'Butter Milk', 'Dry Fruit Lassi', 'Kesaria Lassi', 'Mineral Water', 'Mineral Water Small', 'Plain Vada', 'Veg Hot Dog', 'Bhel Puri', 'Churmur Chaat', 'Dahi Bhalla', 'Dahi Bhalla Papdi', 'Dahi Papdi', 'Dahi Puri', 'Masala Puri', 'Sev Puri', 'Baby Corn Manchurian', 'Gobhi Manchurian', 'Paneer Fried Rice', 'Paneer Manchurian', 'Chilly Paneer', 'Veg Ball Manchurian', 'Veg Fried Rice', 'Veg Hakka Noodles', 'Extra Bhatura 1 Pc', 'Extra Pav (2 Pcs)', 'Tawa Pav Bhaji', 'Chhola Bhatura', 'Chhole Samosa Chaat', 'Dahi Samosa', 'Plain Samosa', 'Chhole Kachori', 'Chhole Tikki', 'Dahi Kachori', 'Dahi Tikki', 'Plain Kachori', 'Plain Tikki', 'Raj Kachori', 'Paani Puri 3 Plates']DeliveryBrookefield
5625https://www.zomato.com/bangalore/sankranti-marathahalli?context=eyJzZSI6eyJlIjpbIjE4MDIyMjg2IiwiMTg3NTM3NzgiLCIxODYyNTU3MSIsIjU1NDU3IiwxODU4MjAxNiwiMTg2MTAwMjYiLCIxODY3OTA4NCIsIjU1MDQyIiwiMTgzNDM5OTIiLCIxODcwMDg1OCIsIjU2ODc3IiwiMTgxNjAwOTgiLCIxODU0OTM2MyIsIjE4MjM3OTE0IiwiMTgzMDU2NDkiLCIxODMwODc3MiIsIjE4MTgxMzI5IiwiMTgxNjU3NzIiLCIxODMzMzEzMiIsIjE4MjU0NjA3IiwiMTgzMDg3NzMiLCIxODQxOTQ2NyIsIjE4MzUzMTExIiwiMTgzNTY2NzUiXSwidCI6IkRlbGl2ZXJ5IFJlc3RhdXJhbnRzIGluIEJyb29rZWZpZWxkIn19Chinnapanahalli Main Road, Anand Nagar, Marathahalli, BangaloreSankrantiYesNo3.6/58391910845672MarathahalliCasual DiningFalseAndhra600False[]DeliveryBrookefield
5626https://www.zomato.com/bangalore/desi-doze-whitefield?context=eyJzZSI6eyJlIjpbIjE4NzUzNzc4IiwiMTg2MjU1NzEiLCI1NTQ1NyIsIjE4NTgyMDE2IiwxODYxMDAyNiwiMTg2NzkwODQiLCI1NTA0MiIsIjE4MzQzOTkyIiwiMTg3MDA4NTgiLCI1Njg3NyIsIjE4MTYwMDk4IiwiMTg1NDkzNjMiLCIxODIzNzkxNCIsIjE4MzA1NjQ5IiwiMTgzMDg3NzIiLCIxODE4MTMyOSIsIjE4MTY1NzcyIiwiMTgzMzMxMzIiLCIxODI1NDYwNyIsIjE4MzA4NzczIiwiMTg0MTk0NjciLCIxODM1MzExMSIsIjE4MzU2Njc1Il0sInQiOiJEZWxpdmVyeSBSZXN0YXVyYW50cyBpbiBCcm9va2VmaWVsZCJ9fQ==1, Nallurhalli Road, Opposite Brigade RV Center, Whitefield, BangaloreDesi DozeYesNo3.8/5147919742425962WhitefieldQuick BitesLassi, Paratha, Chaach, Chole Bhature, ThaliNorth Indian, Fast Food400False['Tandoori Plain Roti', 'Butter Naan', '2 Tawa Aloo Paratha', '2 Tawa Gobi Paratha', '2 Tawa Egg Paratha', 'Veg Thali', 'Paneer Thali', 'Punjabi Thali', 'Dal Tadka Rice', 'Veg Kofta', 'Kadai Paneer', 'Paneer Butter Masala', 'Dal Tadka', 'Veg Pulao', 'Sweet Lassi', 'Chole Bhature [3 Bhature]', 'Veg Thali', 'Paneer Thali', 'Punjabi Thali', 'Dal Tadka Rice', 'Kadhi Rice', 'Chole Rice', 'Dal Makhani Rice', 'Jeera Aloo', 'Mixed Veg', 'Aloo Gobi', 'Veg Kofta', 'Baingan Bharta', 'Matar Paneer', 'Kadai Paneer', 'Paneer Butter Masala', 'Mushroom Masala', 'Malai Kofta', 'Shahi Paneer', 'Dal Tadka', 'Kadhi Pakoda', 'Chole', 'Dal Makhani', 'Egg Masala', 'Egg Bhurji [3 Eggs]', 'Tawa Plain Roti', 'Tawa Butter Roti', 'Tandoori Plain Roti', 'Tandoori Butter Roti', 'Lachha Paratha', 'Butter Naan', 'Garlic Naan', 'Aloo Amritsari Naan', 'Gobi Amritsari Naan', 'Paneer Amritsari Naan', '2 Tawa Aloo Paratha', '2 Tawa Pyaz Paratha', '2 Tawa Gobi Paratha', '2 Tawa Pudina Paratha', '2 Tawa Muli Paratha', '2 Tawa Methi Paratha', '2 Tawa Paneer Paratha', '2 Tawa Egg Paratha', 'Steamed Rice', 'Jeera Rice', 'Veg Pulao', 'Shahi Pulao', 'Egg Rice', 'Plain Maggi', 'Atta Maggi', 'Punjabi Masala Maggi', 'Mixed Pakode', 'Paneer Pakode', 'Desi Potato Fries', '4 Poori Sabzi', 'Chole Bhature [3 Bhature]', 'Bread Omelette', 'Papad', 'Curd', 'Raita', 'Green Salad', 'Masala Papad', 'Sooji Halwa', 'Moong Dal Halwa', 'Gulab Jamun', 'Chaas', 'Sweet Lassi', 'Kesar Badam Milk', 'Shikanji', 'Jal Jeera', 'Fresh Lime Soda', 'Coke [600 ml]', 'Thumbs Up [600 ml]', 'Sprite [600 ml]', 'Mineral Water [1 litre]']DeliveryBrookefield
5627https://www.zomato.com/bangalore/hunger-stop-whitefield-bangalore?context=eyJzZSI6eyJlIjpbIjE4NjI1NTcxIiwiNTU0NTciLCIxODU4MjAxNiIsIjE4NjEwMDI2IiwxODY3OTA4NCwiNTUwNDIiLCIxODM0Mzk5MiIsIjE4NzAwODU4IiwiNTY4NzciLCIxODE2MDA5OCIsIjE4NTQ5MzYzIiwiMTgyMzc5MTQiLCIxODMwNTY0OSIsIjE4MzA4NzcyIiwiMTgxODEzMjkiLCIxODE2NTc3MiIsIjE4MzMzMTMyIiwiMTgyNTQ2MDciLCIxODMwODc3MyIsIjE4NDE5NDY3IiwiMTgzNTMxMTEiLCIxODM1NjY3NSJdLCJ0IjoiRGVsaXZlcnkgUmVzdGF1cmFudHMgaW4gQnJvb2tlZmllbGQifX0=Opposite to Neeladari Apartment,Nallurahalli Road, Siddapura, Whitefied, Bangalore, BengaluruHunger StopYesNo3.7/5100917829999672WhitefieldQuick BitesFalseNorth Indian, Chinese, Fast Food300False['Veggie Maggi', 'Poha', 'Jeera Rice with Delicious Matar Paneer', 'Desi Ghee Rice with Mutter Paneer', 'Plain Puri Chole Combo', 'Puri Aloo Mutter Ke Sabji Combo', 'Veg Kadai Roti Meal Box', 'Paneer Roti Meal Box', 'Veg Combo Meal Box', 'Paneer Combo Meal Box', 'Meal Over Box', '2 Aloo Paratha', '2 Gobi Paratha', '2 Paneer Paratha', '2 Aloo Onion Paratha', 'Adaraki Corn Sandwich', 'HS Stuffed Paneer Poori Box', 'HS Poori Paneer Box', 'Jeera Rice with Delicious Matar Paneer', 'Jeera Rice with Naughty Kadai Paneer', 'Jeera Rice with Nawab Paneer Lababdar', 'Jeera Rice with Punjabi Kadai Pakoda', 'Desi Ghee Rice with Mutter Paneer', 'Desi Ghee Rice with Naughty Kadai Paneer', 'Desi Ghee Rice with Nawab Paneer Lababdar', 'Corn Rice with Mutter Paneer', 'Corn Rice with Kadai Paneer', 'Corn Rice with Paneer Lababdar', 'Veg Pulao with Delicious Matar Paneer', 'Veg Pulao with Naughty Kadai Paneer', 'Veg Pulao with with Nawab Paneer Lababdar', '2 Aloo Onion Paratha', '2 Aloo Peas Paratha', '2 Aloo Schezwan Paratha', '2 Achari Aloo Paratha', '2 Mutter Paneer Paratha', '2 Paneer Schezwan Paratha', '2 Paneer Cheese Paratha', '2 Chilli Milli Paratha', '2 Cocktail Paratha', 'Aloo Veggie Sandwich', 'Adaraki Corn Sandwich', 'Healthy Delight Sandwich', 'Paneer Bhurji Sandwich', 'Mutter Paneer Sandwich', 'Cocktail Sandwich', 'Healthy Box', 'Poha Box', 'Plain Puri Chole Combo', 'Poori Aloo Mutter Ke Sabji Combo', 'Palak Puri Chole Combo', 'Stuffed Aloo Mutter Puri Chole Combo', 'Stuffed Sattu Puri Chole Combo', 'Plain Puri Chole Combo', 'Puri Aloo Mutter Ke Sabji Combo', 'Palak Puri Chole Combo', 'Stuffed Aloo Mutter Puri Chole Combo', 'Stuffed Sattu Puri Chole Combo', 'Veg Curry with 3 Phulka', 'Veg Curry with 3 Plain Paratha', 'Dal Rice Meal Box', 'Chole Meal Box', 'Kadhi Pakoda Rice Meal Box', 'Paneer Rice Meal Box', 'Veg Kadai Roti Meal Box', 'Paneer Roti Meal Box', 'Veg Combo Meal Box', 'Paneer Combo Meal Box', 'Meal Over Box', 'Dal Khichdi Meal', 'Egg Roti Meal Box', 'Egg Combo Meal Box', 'Veg Gravy with Veg Base Combo', 'Paneer Gravy with Veg Base Combo', 'Veg Gravy with Schezwan Base Combo', 'Paneer Gravy with Veg Schezwan Base Combo', 'Veg Gravy with Eggiee Base Combo', 'Paneer with Eggiee Base Combo', 'Veg Gravy with Egg Schezwan Base Combo', 'Paneer Gravy with Egg Schezwan Base Combo', 'Dry Vegetable Combo', 'Dal Tadka', 'Dal Palak', 'Aloo Jeera Dry', 'Aloo Mutter Dry', 'Bhindi Masala', 'Mix Veg Semi Gravy', 'Kadai Bari', 'Chole Masala', 'Veg Kadai', 'Veg Kolhapuri', 'Mushroom Masala', 'Mushroom Do Pyaza', 'Paneer Butter Masala', 'Kadai Paneer', 'Palak Paneer', 'Paneer Do Pyaza', 'Mutter Paneer', 'Paneer Bhurji', 'Paneer Lababdar', 'Egg Curry', 'Egg Masala', 'Egg Do Pyaza', 'Halka Pulka', 'Butter Pulka', 'Triangle Plain Paratha', 'Palak Pulka', '2 Aloo Paratha', '2 Gobi Paratha', '2 Onion Paratha', '2 Sattu Paratha', '2 Shakkar Paratha', '2 Paneer Paratha', 'Steamed Rice', 'Jeera Rice', 'Ghee Rice', 'Corn Rice', 'Mutter Pulao', 'Veg Pulao', 'Veg Fried Rice', 'Veg Schezwan Fried Rice', 'Egg Fried Rice', 'Egg Schezwan Fried Rice', 'Veg Noodles', 'Veg Schezwan Noodles', 'Egg Noodles', 'Egg Schezwan Noodles', 'Egg Bhurji Sandwich', 'Egg Omelette Sandwich', 'Poha', 'Masaia Oats', 'Cocktail Chaat', 'Sprouts Chaat', 'Brown Bread [2 Pieces]', 'Brown Bread [2 Pieces] with Jam', 'Veggie Omelette', '2 Boiled Egg', '2 Boiled Egg and 2 Brown Bread', 'Cheese Omelette and 3 Brown Bread', 'Egg Bhurji and 3 Brown Bread', 'Veg Ball Manchurian', 'Mushroom Manchurian', 'Mushroom Chilli', 'Paneer Manchurian', 'Paneer Chilli', 'Paneer 65', '2 Minute Maggi', 'Veggie Maggi', 'Veggie Cheese Maggi', 'Paneer Tadka Maggi', 'Paneer Cheese Maggi', 'Cocktail Maggi', 'Egg Bhurji Maggi', 'Raita', 'Jaljeera', 'Gulab Jamun [2 Pieces]', 'Chai [4 cups]', 'Piyali Box [2 Cup]', 'Piyali Box [4 Cup]', 'Poha Box']DeliveryBrookefield
5628https://www.zomato.com/bangalore/kakaji-brookefield-bangalore?context=eyJzZSI6eyJlIjpbIjU1NDU3IiwiMTg1ODIwMTYiLCIxODYxMDAyNiIsIjE4Njc5MDg0Iiw1NTA0MiwiMTgzNDM5OTIiLCIxODcwMDg1OCIsIjU2ODc3IiwiMTgxNjAwOTgiLCIxODU0OTM2MyIsIjE4MjM3OTE0IiwiMTgzMDU2NDkiLCIxODMwODc3MiIsIjE4MTgxMzI5IiwiMTgxNjU3NzIiLCIxODMzMzEzMiIsIjE4MjU0NjA3IiwiMTgzMDg3NzMiLCIxODQxOTQ2NyIsIjE4MzUzMTExIiwiMTgzNTY2NzUiXSwidCI6IkRlbGl2ZXJ5IFJlc3RhdXJhbnRzIGluIEJyb29rZWZpZWxkIn19Ring Road, Opposite EMC Square, Doddanekundi, Mahadevapura, Bengaluru, Karnataka 560037, India, Brookefield, BangaloreKakajiYesNo3.7/5205919538614593917406819235MarathahalliQuick BitesThali, Lassi, Rice, Chole Bhature, Paratha, Dal Makhani, Dal TadkaNorth Indian350False['Tawa Roti', 'Rojana Thali', 'Kalkaji Special Thali', 'Butter Naan Combo', 'Butter Kulcha Combo', 'Rojana Thali', 'Kalkaji Special Thali', 'Maharaja Thali', 'Tandoori Combo', 'Butter Naan Combo', 'Butter Kulcha Combo', 'Paneer Pakoda', 'Onion Pakoda', 'Veg Pakoda', 'Aloo Pakoda', 'Cheese Pakoda', 'Paneer Tikka', 'Kaju Masala', 'Paneer Kaju Masala', 'Paneer Butter Masala', 'Matar Paneer', 'Palak Paneer', 'Paneer Bhurji', 'Kadhai Paneer', 'Shahi Paneer', 'Paneer Do Pyaza', 'Malai Kofta', 'Veg Kofta', 'Mushroom Masala', 'Mix Veg', 'Veg Kadhai', 'Aloo Gobi', 'Aloo Matar', 'Aloo Capsicum', 'Aloo Palak', 'Aloo Do Pyaza', 'Aloo Jeera', 'Green Peas Masala', 'Matar Methi Malai', 'Chola Masala', 'Chola Bhatura', 'Dal Fry', 'Dal Tadka', 'Dal Makhani', 'Dal Maharani', 'Paneer Chilly', 'Paneer Manchurian', 'Gobi Chilly', 'Gobi Manchurian', 'Babycorn Chilly', 'Babycorn Manchurian', 'Aloo Chilly', 'Veg Manchurian', 'Mushroom Chilly', 'Mushroom Manchurian', 'Tawa Roti', 'Butter Tawa Roti', 'Tandoori Roti', 'Butter Tandoori Roti', 'Plain Naan', 'Butter Naan', 'Plain Kulcha', 'Stuffed Kulcha', 'Aloo Paratha', 'Gobi Paratha', 'Methi Paratha', 'Muli Paratha', 'Onion Paratha', 'Plain Paratha', 'Paneer Paratha', 'Mix Paratha', 'Mughlai Paratha', 'Cheese Paratha', 'Steamed Rice', 'Jeera Rice', 'Fried Rice', 'Peas Pulav', 'Veg Pulav', 'Shahi Pulav', 'Paneer Fried Rice', 'Mushroom Fried Rice', 'Plain Papad', 'Masala Papad', 'Fry Papad', 'Green Salad', 'Curd', 'Boondi Raita', 'Veg Raita', 'Onion Raita', 'Cucumber Raita', 'Matka Lassi', 'Chhaas', 'Masala Cold Drink', 'Masala Soda', 'Sweet Lassi']DeliveryBrookefield
5629https://www.zomato.com/bangalore/andhra-ruchulu-brookefield?context=eyJzZSI6eyJlIjpbIjE4NTgyMDE2IiwiMTg2MTAwMjYiLCIxODY3OTA4NCIsIjU1MDQyIiwxODM0Mzk5MiwiMTg3MDA4NTgiLCI1Njg3NyIsIjE4MTYwMDk4IiwiMTg1NDkzNjMiLCIxODIzNzkxNCIsIjE4MzA1NjQ5IiwiMTgzMDg3NzIiLCIxODE4MTMyOSIsIjE4MTY1NzcyIiwiMTgzMzMxMzIiLCIxODI1NDYwNyIsIjE4MzA4NzczIiwiMTg0MTk0NjciLCIxODM1MzExMSIsIjE4MzU2Njc1Il0sInQiOiJEZWxpdmVyeSBSZXN0YXVyYW50cyBpbiBCcm9va2VmaWVsZCJ9fQ==3rd Floor, Food Court, Brookefield Mall, Brookefield, BangaloreAndhra RuchuluYesNo3.7/51068048650460BrookefieldFood CourtBiryani ComboAndhra, North Indian, Chinese, Biryani500False['Boneless Kaju Chicken', 'Hyderabadi Veg Dum Biryani', 'Gongura Veg Biryani', 'Paneer Dum Biryani', 'Egg Roast Biryani', 'Hyderabadi Dum Chicken Biryani', 'Chicken Fry Biryani', 'Boneless Chicken 65 Biryani', 'Boneless Special Fried Chicken Biryani', 'Prawns Biryani', 'Ghee Dal Rice', 'Tomato Rice', 'Chicken Biryani Combo', 'Mutton Biryani Combo', 'Prawns Biryani Combo', 'Chapati Veg Curry', 'Paratha Veg Curry', 'Curd Rice Meal', 'Ghee Dal Rice', 'Lemon Rice', 'Tomato Rice', 'Chapati with Chicken Curry', 'Chapati with Mutton Curry', 'Veg Biryani Combo', 'Paneer Biryani Combo', 'Mushroom Biryani Combo', 'Chicken Biryani Combo', 'Mutton Biryani Combo', 'Fish Biryani Combo', 'Prawns Biryani Combo', 'Onion Pakoda', 'Gobi Pakoda', 'Kaju Pakoda', 'Mix Veg Pakoda', 'Gobi 65', 'Gobi Manchurian', 'Gobi Chilli', 'Mushroom 65', 'Mushroom Manchurian', 'Mushroom Chilli', 'Mushroom Pepper', 'Paneer 65', 'Paneer Manchurian', 'Paneer Chilli', 'Egg 65', 'Egg Manchurian', 'Egg Chilli', 'Egg Fry', 'Boneless Chicken Green Chilli', 'Boneless Chicken Red Chilli', 'Guntur Chicken Fry', 'Boneless Kaju Chicken', 'Chicken Roast', 'Boneless Lemon Chicken', 'Boneless Pepper Chicken', 'Boneless Chicken 65', 'Chicken Kabab', 'Chicken Lollipop', 'Chicken Ghee Roast', 'Chicken Chettinad', 'Chicken Sukka', 'Mutton Pepper Fry', 'Mutton Sukka', 'Mutton Roast', 'Mutton Ghee Roast', 'Fish Kabab', 'Fish 65', 'Fish Chilli', 'Fish Apollo', 'Prawns Pepper Fry', 'Prawns Ghee Roast', 'Stuffed Brinjal Curry', 'Kaju Mushroom Curry', 'Mushroom Peas Masala', 'Andhra Paneer Masala', 'Mix Veg Masala', 'Kaju Tomato', 'Tomato Dal', 'Palak Dal', 'Moong Dal', 'Andhra Chicken Curry', 'Guntur Chicken Curry', 'Nellore Chicken Curry', 'Methi Chicken Curry', 'Palakura Chicken Curry', 'Kaju Chicken Curry', 'Gongura Chicken Curry', 'Chicken Chettinad Curry', 'Chicken Pepper Curry', 'Andhra Mutton Curry', 'Mutton Pepper Curry', 'Mutton Chettinad', 'Fish Curry', 'Prawns Curry', 'Kaju Prawns Curry', 'Butter Prawns Curry', 'Prawns Pepper Curry', 'Chapati', 'Paratha', 'Hyderabadi Veg Dum Biryani', 'Gongura Veg Biryani', 'Avakai Veg Biryani', 'Ulavacharu Veg Biryani', 'Paneer Dum Biryani', 'Mushroom Biryani', 'Peas Pulao', 'Jeera Rice', 'Egg Biryani', 'Egg Roast Biryani', 'Hyderabadi Dum Chicken Biryani', 'Chicken Fry Biryani', 'Gongura Chicken Biryani', 'Ulavacharu Chicken Biryani', 'Boneless Chicken 65 Biryani', 'Chicken Lollipop Biryani', 'Chicken Kabab Biryani', 'Boneless Special Fried Chicken Biryani', 'Chicken Roast Biryani', 'Chicken Ghee Roast Biryani', 'Ghee Dal Chicken Rice', 'Chicken Biryani [Family Pack]', 'Andhra Mutton Biryani', 'Mutton Roast Biryani', 'Boneless Mutton Biryani', 'Gongura Mutton Biryani', 'Mutton Biryani [Family Pack]', 'Boneless Fish Biryani', 'Fish Roast Biryani', 'Prawns Biryani', 'Gongura Prawns Biryani', 'Veg Fried Rice', 'Veg Schezwan Spicy Fried Rice', 'Egg Fried Rice', 'Chicken Fried Rice', 'Schezwan Spicy Chicken Fried Rice', 'Fish Fried Rice', 'Prawns Fried Rice', 'Butter Milk']DeliveryBrookefield
5630https://www.zomato.com/bangalore/south-house-brookefield-bangalore?context=eyJzZSI6eyJlIjpbIjE4NjEwMDI2IiwiMTg2NzkwODQiLCI1NTA0MiIsIjE4MzQzOTkyIiwxODcwMDg1OCwiNTY4NzciLCIxODE2MDA5OCIsIjE4NTQ5MzYzIiwiMTgyMzc5MTQiLCIxODMwNTY0OSIsIjE4MzA4NzcyIiwiMTgxODEzMjkiLCIxODE2NTc3MiIsIjE4MzMzMTMyIiwiMTgyNTQ2MDciLCIxODMwODc3MyIsIjE4NDE5NDY3IiwiMTgzNTMxMTEiLCIxODM1NjY3NSJdLCJ0IjoiRGVsaXZlcnkgUmVzdGF1cmFudHMgaW4gQnJvb2tlZmllbGQifX0=579, Ground Floor, C Block AECS Layout, Kundalahalli, Brookefield, BangaloreSouth HouseYesNo3.8/59791960627999BrookefieldCasual DiningEgg Biryani, Roti, Mutton Biryani, Chicken ChettinadSouth Indian, Biryani800False['Red Chilli Boneless Biryani', 'Chicken Biryani', 'Gongura Mutton Biryani', 'Chicken 66', 'Chicken Lollypop', 'Crispy Chicken', 'Chicken Sixer', 'Nut Spicy Chicken', 'Fish Pepper Fry', 'Egg Fried Rice', 'Tomato Miriyala Rasam', 'Mushroom Tomato Rasam', 'Veg Clear Soup', 'Chicken Tomato Soup', 'Chicken Clear Soup', 'Chicken Hot N Sour Soup', 'Chicken Manchow Soup', 'Baby Corn Gold', 'Kaju Onion Pakoda', 'Mushroom Pepper Dry', 'Gobi Curry Leaf Dry', 'Gobi Manchurian', 'Paneer Manchurian', 'Crispy Baby Corn', 'Paneer Chilli', 'Mushroom Kaju Dry', 'Kodi Kaju Pakoda', 'Egg Roast', 'Egg Bhurji', 'Egg Chilli', 'Chicken 66', 'Chicken Sholay', 'Chicken Lollypop', 'Crispy Chicken', 'MomÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x92s Spicy Chicken', 'Chilli Chicken', 'Chicken Majestic', 'Hunan Chicken', 'Chicken Sixer', 'Nut Spicy Chicken', 'Mutton Keema Balls', 'Mutton Pepper Fry', 'Mutton Roast', 'Pacha Karam Kodi', 'Royyala Sholay', 'Kodi Miriyala Vepudu', 'Fish Pepper Fry', 'Chilli Flakes Prawns', 'Dal Fry', 'Dal Tadka', 'Dal Makhani', 'Veg Makhanwala', 'Kaju Curry', 'Paneer Butter Masala', 'Mushroom Masala', 'Mushroom Peas Masala', 'Methi Paneer', 'Palak Paneer', 'Malai Kofta', 'Paneer Lababdar', 'Kadhai Paneer', 'Mixed Veg Achari', 'Mixed Veg Diwani', 'Mixed Veg Kolhapuri', 'Palakura Pappu', 'Vegetables Stew', 'Thotakura Pappu', 'Nizami Tharakari', 'Egg Iguru', 'Egg Curry', 'Chicken Handi', 'Dum ka Murg', 'Punjabi Chicken', 'Butter Chicken', 'Chicken Rara', 'Kandari Chicken', 'Chicken Keema Balls Curry', 'Chicken Lababdar', 'Andhra Style Chilli Chicken', 'Kodi Kura', 'Kozhi Chettinad', 'Korigassi', 'Kodi Ghee Roast', 'Ullapaya Kodi Curry', 'Mamsam Iguru', 'Matka Mutton', 'Mutton Rogan Gosh', 'Dum Ka Mutton', 'Mutton Keema Curry', 'Palakura Mamsam', 'Uragay Mamsam', 'Methi Kura Mamsam', 'Gongura Mamsam', 'Prawns Ghee Roast', 'Prawns Curry', 'Karam Ghee Rice', 'Jeera Rice', 'Ghee Rice', 'Veg Pulao', 'Egg Biryani', 'Red Chilli Boneless Biryani', 'Chicken Biryani', 'Mutton Keema Biryani', 'Gongura Mutton Biryani', 'Veg Fried Rice', 'Egg Fried Rice', 'Boiled Egg Fried Rice', 'Chicken Fried Rice', 'Mineral Water [1 litre]', 'Coke [250 ml]', 'Thums Up [250 ml]']DeliveryBrookefield
5631https://www.zomato.com/bangalore/oakleaf-whitefield?context=eyJzZSI6eyJlIjpbIjE4Njc5MDg0IiwiNTUwNDIiLCIxODM0Mzk5MiIsIjE4NzAwODU4Iiw1Njg3NywiMTgxNjAwOTgiLCIxODU0OTM2MyIsIjE4MjM3OTE0IiwiMTgzMDU2NDkiLCIxODMwODc3MiIsIjE4MTgxMzI5IiwiMTgxNjU3NzIiLCIxODMzMzEzMiIsIjE4MjU0NjA3IiwiMTgzMDg3NzMiLCIxODQxOTQ2NyIsIjE4MzUzMTExIiwiMTgzNTY2NzUiXSwidCI6IkRlbGl2ZXJ5IFJlc3RhdXJhbnRzIGluIEJyb29rZWZpZWxkIn1962, Forum Neighbourhood Mall, Whitefield, BangaloreOakleafYesNo3.9/540806670888891725959971WhitefieldCasual DiningSalmonAsian, Continental, North Indian, Italian2,000False['Cheese Stuffed Paratha', 'Crunchy Panko Coated Prawn', 'Grilled Stuffed Chicken Breast', 'Vegetable Mash Patty with Pesto Aioli Burger', 'Grilled Freshly Ground Beef Patty Burger', 'Oven Roasted Tomato Soup', 'Wild Mushroom Soup', 'Soup of the Day', 'Fragrant Chicken and Noodle Soup', 'Chicken Mulligatawny Soup', 'Oakleafe Caprese Salad', 'Fresh Watermelon Salad', 'Veg Basil Caesar Salad', 'Chicken Basil Caesar Salad', 'Smoked Salmon Basil Caesar Salad', 'Chilled Prawn Cocktail', 'Mezze Paltter', 'Mattarwali Palak Tikki', 'Crostini Misti', 'Baby Corn Salt N Pepper', 'Mushroom Salt N Pepper', 'Thai Wok Chicken', 'Chicken Salt N Pepper', 'Mamsam Pepper Fry', 'Scottish Fish N Chips', 'Fish Salt N Pepper', 'Goan Style Calamari Fritters', 'Crunchy Panko Coated Prawn', 'Asian Vegetables Thai Red Curry', 'Asian Vegetables Thai Green Curry', 'Asian Vegetables in Hot Garlic Sauce', 'Chicken Thai Red Curry', 'Chicken Thai Green Curry', 'Schezwan Garlic Prawns', 'Naan', 'Roti', 'Paneer Stuffed Paratha', 'Vegetable Stuffed Paratha', 'Cheese Stuffed Paratha', 'Onion Stuffed Paratha', 'Paneer Stuffed Kulcha', 'Vegetable Stuffed Kulcha', 'Cheese Stuffed Kulcha', 'Onion Stuffed Kulcha', 'Steamed Rice', 'Curd Rice', 'Vegetable Khichdi', 'Vegetable Biryani', 'Egg Biryani', 'Chicken Biryani', 'Mutton Biryani', 'Prawn Biryani', 'Vegetable Fried Rice', 'Vegetable Hakka Noodles', 'Chicken Fried Rice', 'Chicken Hakka Noodles', 'Al Arrabiata', 'Alla Boscaiola', 'Aglio Olio Peperoncino Pasta', 'Aglio Braccio Di Ferro', 'Risotto Ai Funghi', 'Gnocchi Con Salsa Rosa', 'Risotto Di Pesce', 'Con Pollo E Funghi Pasta', 'Con Salsiccia Broccoli Salad', 'Alla Bolognese', 'Veg Sandwich', 'Falafel Wrap', 'Grilled Chicken Quesadilla', 'Red Kidney Beans, Corn and Jalapenos Quesadilla', 'Chicken Tikka Focaccia Sandwich', 'Tenderloin Steak Sandwich', 'Oakleaf Club Sandwich', 'Smoked Salmon Quesadilla', 'Vegetable Mash Patty with Pesto Aioli Burger', 'Grilled Minced Chicken Patty Burger', 'Grilled Freshly Ground Beef Patty Burger', 'Paneer Tikka Roll', 'Chicken Tikka Roll', 'Lamb Seekh Kebab Roll', 'Paneer Lababdar', 'Paneer Palak', 'Paneer Kurchen', 'Paneer Do Pyaza', 'Paneer Kadai', 'Vegetable Kolhapuri', 'Aloo Methi', 'Aloo Jeera', 'Aloo Palak', 'Aloo Gobi', 'Dal Makhani', 'Lehsuni Dal Tadka', 'Rajma Masala', 'Subz of the Day', 'Chicken Stew', 'Murgh Tikka Makhani', 'Kashmiri Ghost', 'Goan Fish Curry', 'Malabar Prawns Curry', 'Veg Kabab Platter', 'Sufiyana Paneer Tikka', 'Subz Moti Seekh', 'Tandoori Aloo Bharwan', 'Khumb Khazana', 'Tandoori Chicken Tikka', 'Murgh Afghani', 'Seekh Kebab Hussaini', 'Non Veg Kebab Platter', 'Saloni Fish Tikka', 'Jhinga Dum Nisha', 'Lasagne Verde', 'Spinach and Corn Au Gratin', 'Vegetable Moussaka', 'Grilled Stuffed Chicken Breast', 'Shish Touk', 'Lamb Chops', 'Norwegian Salmon Steak', 'Tenderloin Steak', 'Pan Seared Sea Bassa Fillet', 'Kesari Rasmali', 'Gulab Jamun', 'Phirni', 'Fresh Fruit Salad', 'Ice Cream [2 Scoop]', 'Tiramisu', 'Chocolate Fudge']DeliveryBrookefield
5632https://www.zomato.com/bangalore/kidilum-whitefield?context=eyJzZSI6eyJlIjpbIjU1MDQyIiwiMTgzNDM5OTIiLCIxODcwMDg1OCIsIjU2ODc3IiwxODE2MDA5OCwiMTg1NDkzNjMiLCIxODIzNzkxNCIsIjE4MzA1NjQ5IiwiMTgzMDg3NzIiLCIxODE4MTMyOSIsIjE4MTY1NzcyIiwiMTgzMzMxMzIiLCIxODI1NDYwNyIsIjE4MzA4NzczIiwiMTg0MTk0NjciLCIxODM1MzExMSIsIjE4MzU2Njc1Il0sInQiOiJEZWxpdmVyeSBSZXN0YXVyYW50cyBpbiBCcm9va2VmaWVsZCJ9fQ==1255, Behind ITPL, Pattandur Agrahara, Whitefield, BangaloreKidilumYesNo3.8/520791984504175091890486998WhitefieldQuick BitesBeef Fry, Appam, Chicken Curry, Kerala Parotta, Idiyappam, Egg Curry, BiryaniKerala, Chinese, North Indian350False['Egg Roast', 'Chicken Curry', 'Chicken Roast', 'Chicken Varutharachathu', 'Chicken Varattiyathu', 'Chicken Porichathu', 'Boneless Travencoor Chicken Fry', 'Chicken Coconut Fry', 'Meen Mulakittathu', 'Fish Pollichathu', 'Chemmeen Coconut Fry', 'Ghee Rice', 'Veg Biryani', 'Chicken Biryani', 'Mutton Biryani', 'Fish Biryani', 'Prawn Biryani', 'Erachi Biryani', 'Chilli Chicken', 'Chicken Fried Rice', 'Kerala Parota', 'Chicken Pepper Fry', 'Chicken Kabab', 'Kadala Curry', 'Green Peas Curry', 'Egg Curry', 'Erachi Fry', 'Erachi Curry', 'Erachi Roast', 'Kadala Curry', 'Green Peas Curry', 'Egg Curry', 'Appam', 'Idiappam', 'Puttu', 'Veg Clear Soup', 'Sweet Corn Veg Soup', 'Hot and Sour Veg Soup', 'Cream of Tomato Soup', 'Cream of Veg Soup', 'Cream of Mushroom Soup', 'Chicken Clear Soup', 'Sweet Corn Chicken Soup', 'Hot and Sour Chicken Soup', 'Cream of Chicken Soup', 'Chicken Manchow Soup', 'Chicken Pepper Fry', 'Chicken Kabab', 'Chicken 65', 'Chicken Kali Mirchi', 'Mixed Veg Curry', 'Veg Kurma', 'Veg Kolhapuri', 'Kadai Veg', 'Paneer Butter Masala', 'Paneer Mutter Masala', 'Kadai Paneer', 'Paneer 65', 'Mushroom Masala', 'Kadai Mushroom', 'Mushroom Pepper Fry', 'Alu Mutter', 'Green Peas Masala', 'Dal Fry', 'Dal Tadka', 'Egg Curry', 'Egg Masala', 'Egg Roast', 'Omelette', 'Egg Burji', 'Boiled Eggs [2 Eggs]', 'Chicken Curry', 'Chicken Masala', 'Chicken Kurma', 'Chicken Roast', 'Chicken Chettinadu', 'Chicken Kolhapuri', 'Hyderabadi Chicken', 'Chicken Do Payza', 'Chicken Vindalo', 'Kadai Chicken', 'Butter Chicken', 'Chicken Mughlai', 'Chicken Pepper Masala', 'Mutton Curry', 'Mutton Masala', 'Mutton Kurma', 'Mutton Rogan Josh', 'Mutton Vindalo', 'Mutton Do Pyaza', 'Mutton Pepper Fry', 'Mutton Pepper Masala', 'Kadai Mutton', 'Mutton Chettinadu', 'Fish Masala', 'Fish Molie', 'Kadai Fish', 'Prawns Masala', 'Prawns Fry', 'Prawns Roast', 'Kadai Prawns', 'Squid Fry', 'Squid Roast', 'Squid Masala', 'Veg Stew', 'Green Peas Curry', 'Kadala Curry', 'Chicken Varutharachathu', 'Chicken Varattiyathu', 'Chicken Porichathu', 'Chicken Stew', 'Chicken Ularthu', 'Boneless Travencoor Chicken Fry', 'Chicken Mappas', 'Chicken Varaval', 'Chicken Coconut Fry', 'Malabar Chicken Curry', 'Nadan Mutton Curry', 'Mutton Stew', 'Mutton Varattiyathu', 'Mutton Ularthu', 'Mutton Mappas', 'Mutton Varaval', 'Mutton Coconut Fry', 'Malabar Mutton Curry', 'Meen Mulakittathu', 'Naymeen Masala', 'Kuttanadan Fish Curry', 'Fish Pollichathu', 'Meen Mappas', 'Chemmeen Ularthu', 'Chemmeen Coconut Fry', 'Chemmeen Chettinadu', 'Basmati Rice', 'Ghee Rice', 'Jeera Rice', 'Biryani Rice', 'Veg Pulav', 'Peas Pulav', 'Curd Rice', 'Veg Biryani', 'Egg Biryani', 'Chicken Biryani', 'Mutton Biryani', 'Fish Biryani', 'Prawn Biryani', 'Erachi Biryani', 'Gobi Manchurian', 'Paneer Manchurian', 'Mushroom Manchurian', 'Chilli Gobi', 'Chilli Mushroom', 'Chilli Paneer', 'Chilli Chicken', 'Chicken Manchurian', 'Chicken Mangolian Dry', 'Lemon Chicken', 'Sweet and Sour Chicken', 'Garlic Chicken', 'Ginger Chicken', 'Fish Manchurian', 'Chilli Fish', 'Garlic Fish', 'Ginger Fish', 'Sweet and Sour Fish', 'Chilli Prawns', 'Prawns Manchurian', 'Ginger Prawn', 'Garlic Prawn', 'Veg Fried Rice', 'Schezwan Veg Fried Rice', 'Mushroom Fried Rice', 'Egg Fried Rice', 'Chicken Fried Rice', 'Schezwan Chicken Fried Rice', 'Mix Fried Rice', 'Schezwan Mix Fried Rice', 'Prawn Fried Rice', 'Kerala Parota', 'Chappathi', 'Kerala Parota', 'Appam', 'Chappathi', 'Egg Appam', 'Lassi', 'Curd', 'Buttermilk', 'Fresh Lime Soda', 'Lime Juice', 'Mineral Water [1 litre]', 'Erachi Fry', 'Erachi Curry', 'Erachi Roast']DeliveryBrookefield
5633https://www.zomato.com/bangalore/mad-over-donuts-whitefield-bangalore?context=eyJzZSI6eyJlIjpbIjE4MzQzOTkyIiwiMTg3MDA4NTgiLCI1Njg3NyIsIjE4MTYwMDk4IiwxODU0OTM2MywiMTgyMzc5MTQiLCIxODMwNTY0OSIsIjE4MzA4NzcyIiwiMTgxODEzMjkiLCIxODE2NTc3MiIsIjE4MzMzMTMyIiwiMTgyNTQ2MDciLCIxODMwODc3MyIsIjE4NDE5NDY3IiwiMTgzNTMxMTEiLCIxODM1NjY3NSJdLCJ0IjoiRGVsaXZlcnkgUmVzdGF1cmFudHMgaW4gQnJvb2tlZmllbGQifX0=KF02, 1st Floor, Ascendas Park Square Mall, Whitefield, BangaloreMad Over DonutsYesNo3.7/528918067266398WhitefieldDessert ParlorFalseBakery, Desserts, Beverages450False['Valentine Donuts [Box of 3]', 'Nutty ella Waffle', 'Box of 4 Eclairs', 'Classic Box of 3 Donuts', 'Classic Box of 6 Donuts', 'Assorted Box of 3 Donuts', 'Assorted Box of 6 Donuts', 'Assorted Box of 12 Donuts', 'Signature Box of 3 Donuts', 'Valentine Donuts [Box of 3]', 'Kitkat Box of 3 Donuts', 'Kitkat Special', 'Signature Bites', 'Kitkat Box of 3 Donuts', 'Assorted Box of 12 Donuts', 'Chocolate Brownie Waffle', 'Nutty ella Waffle', 'Box of 4 Eclairs', 'Doraemon Joy Box', 'Classic Box of 3 Donuts', 'Classic Box of 6 Donuts', 'Classic Box of 12 Donuts', 'Assorted Box of 3 Donuts', 'Assorted Box of 6 Donuts', 'Assorted Box of 12 Donuts', 'Signature Box of 3 Donuts', 'Signature Box of 6 Donuts', 'Signature Box of 12 Donuts', 'Chocolate Chip Waffle', 'Chocolate Brownie Waffle', 'Nutty-ella Waffle', 'Cookies and Cream Waffle', 'Salted Caramel Waffle', 'Strawberry Dream Waffle', 'Dark Wonder Waffle', 'Krunchy Munchy', 'Signature Bites', 'Box of 4 Eclairs', 'Valentine Donuts [Box of 3]']DeliveryBrookefield